From ad81cca1ada97f3506fd4336da8fdeaa5420520f Mon Sep 17 00:00:00 2001 From: Sebastian Funk Date: Tue, 19 Sep 2023 09:29:11 +0200 Subject: [PATCH 1/6] add examples for analysis results --- R/data.R | 18 ++++++++++ data-raw/estimate-infections.R | 47 +++++++++++++++++++++++++++ data/example_estimate_infections.rda | Bin 0 -> 1309328 bytes data/example_regional_epinow.rda | Bin 0 -> 3143380 bytes man/example_estimate_infections.Rd | 19 +++++++++++ man/example_regional_epinow.Rd | 19 +++++++++++ 6 files changed, 103 insertions(+) create mode 100644 data-raw/estimate-infections.R create mode 100644 data/example_estimate_infections.rda create mode 100644 data/example_regional_epinow.rda create mode 100644 man/example_estimate_infections.Rd create mode 100644 man/example_regional_epinow.Rd diff --git a/R/data.R b/R/data.R index a59702d65..8f0b24438 100644 --- a/R/data.R +++ b/R/data.R @@ -21,3 +21,21 @@ #' An example data frame of observed cases #' @format A data frame containing cases reported on each date. "example_confirmed" + +#' Example estimate_infections output +#' +#' @description `r lifecycle::badge("stable")` +#' An example output of `estimate_infections` containing 200 samples. +#' See here for details: +#' https://github.com/epiforecasts/EpiNow2/blob/main/data-raw/estimate_infections.R # nolint +#' @format An `estimate_infections` object with the results +"example_estimate_infections" + +#' Example regional_epinow output +#' +#' @description `r lifecycle::badge("stable")` +#' An example output of `regional_epinow` containing 200 samples per region. +#' See here for details: +#' https://github.com/epiforecasts/EpiNow2/blob/main/data-raw/estimate_infections.R # nolint +#' @format A list with the results +"example_regional_epinow" diff --git a/data-raw/estimate-infections.R b/data-raw/estimate-infections.R new file mode 100644 index 000000000..61ea082ca --- /dev/null +++ b/data-raw/estimate-infections.R @@ -0,0 +1,47 @@ +library("EpiNow2") +library("here") + +# get example case counts +reported_cases <- example_confirmed[1:60] + +# set up example generation time +generation_time <- get_generation_time( + disease = "SARS-CoV-2", source = "ganyani", fixed = TRUE +) +# set delays between infection and case report +incubation_period <- get_incubation_period( + disease = "SARS-CoV-2", source = "lauer", fixed = TRUE +) +# delays between infection and case report, with uncertainty +incubation_period_uncertain <- get_incubation_period( + disease = "SARS-CoV-2", source = "lauer" +) +reporting_delay <- dist_spec( + mean = convert_to_logmean(2, 1), mean_sd = 0, + sd = convert_to_logsd(2, 1), sd_sd = 0, max = 10 +) + +# default settings but assuming that delays are fixed rather than uncertain +example_estimate_infections <- estimate_infections(reported_cases, + generation_time = generation_time_opts(generation_time), + delays = delay_opts(incubation_period + reporting_delay), + rt = rt_opts(prior = list(mean = 2, sd = 0.1)), + stan = stan_opts(samples = 200, control = list(adapt_delta = 0.95)) +) + +cases <- example_confirmed[1:60] +cases <- data.table::rbindlist(list( + data.table::copy(cases)[, region := "testland"], + cases[, region := "realland"] +)) + +example_regional_epinow <- regional_epinow( + reported_cases = cases, + generation_time = generation_time_opts(generation_time), + delays = delay_opts(incubation_period + reporting_delay), + rt = rt_opts(prior = list(mean = 2, sd = 0.2)), + stan = stan_opts( samples = 200, control = list(adapt_delta = 0.95)) +) + +usethis::use_data(example_estimate_infections, overwrite = TRUE) +usethis::use_data(example_regional_epinow, overwrite = TRUE) diff --git a/data/example_estimate_infections.rda b/data/example_estimate_infections.rda new file mode 100644 index 0000000000000000000000000000000000000000..44b2b8c0cc0934983116b0a7f5619c29a1b50b75 GIT binary patch literal 1309328 zcmcG#1z20b_b3?LDH7a6puruA6CgMgcPZ}f1X|poxI^(m@D>kHpg6R+TX8GUqAgS& 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z=-xDradjE3WuowGVRs4HXT0prXUmiJLIt<-zr%69?%R3_%ED|+{3|v;P_IR0VHvyl zeW`9R;le%KYvuc5L=pJkPJkdl0t_0Ub_f9=YZ2HRB6MmGl6p=ZO&&C3%!GJG1v^yp zCutf1u>em0^yJ+DS|7qd@zNS`0^%2hp!+WvdS!Xin=Aai%0+xU1%TM&ho8FSsCQ)t zc&_OuP~Rqfz?H8J+nwBcQQ}2Zt1KoqJgI?mN6Pq0!MD%mbuoIDB+^ec(41IT-d^eB z7wOHt<%H?t>mGZandMj9{;spcaAxi=-u8>6XQVCcf8oU&gNOEyzQl%PI gB9eFQ&5MgnW!~FwYOhW;sQ=>bNT&)C9iV{WK<^l+&j0`b literal 0 HcmV?d00001 diff --git a/man/example_estimate_infections.Rd b/man/example_estimate_infections.Rd new file mode 100644 index 000000000..5c50cec30 --- /dev/null +++ b/man/example_estimate_infections.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/data.R +\docType{data} +\name{example_estimate_infections} +\alias{example_estimate_infections} +\title{Example estimate_infections output} +\format{ +An \code{estimate_infections} object with the results +} +\usage{ +example_estimate_infections +} +\description{ +\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#stable}{\figure{lifecycle-stable.svg}{options: alt='[Stable]'}}}{\strong{[Stable]}} +An example output of \code{estimate_infections} containing 200 samples. +See here for details: +https://github.com/epiforecasts/EpiNow2/blob/main/data-raw/estimate_infections.R # nolint +} +\keyword{datasets} diff --git a/man/example_regional_epinow.Rd b/man/example_regional_epinow.Rd new file mode 100644 index 000000000..0c9587a7a --- /dev/null +++ b/man/example_regional_epinow.Rd @@ -0,0 +1,19 @@ +% Generated by roxygen2: do not edit by hand +% Please edit documentation in R/data.R +\docType{data} +\name{example_regional_epinow} +\alias{example_regional_epinow} +\title{Example regional_epinow output} +\format{ +A list with the results +} +\usage{ +example_regional_epinow +} +\description{ +\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#stable}{\figure{lifecycle-stable.svg}{options: alt='[Stable]'}}}{\strong{[Stable]}} +An example output of \code{regional_epinow} containing 200 samples per region. +See here for details: +https://github.com/epiforecasts/EpiNow2/blob/main/data-raw/estimate_infections.R # nolint +} +\keyword{datasets} From a293328a5c4b468e200ae752a4d5f00da52c42da Mon Sep 17 00:00:00 2001 From: Sebastian Funk Date: Tue, 19 Sep 2023 09:29:39 +0200 Subject: [PATCH 2/6] remove long run time examples --- R/estimate_infections.R | 137 +----------------------------------- R/get.R | 37 +--------- R/plot.R | 25 ++----- R/regional_epinow.R | 19 +---- R/report.R | 27 +------ R/summarise.R | 58 ++------------- man/estimate_infections.Rd | 137 +----------------------------------- man/get_regional_results.Rd | 37 +--------- man/plot_estimates.Rd | 25 ++----- man/regional_epinow.Rd | 19 +---- man/regional_runtimes.Rd | 27 +------ man/regional_summary.Rd | 31 +------- man/report_plots.Rd | 27 +------ 13 files changed, 30 insertions(+), 576 deletions(-) diff --git a/R/estimate_infections.R b/R/estimate_infections.R index 2574a45d6..d503c20cc 100644 --- a/R/estimate_infections.R +++ b/R/estimate_infections.R @@ -91,7 +91,7 @@ #' sd = convert_to_logsd(2, 1), sd_sd = 0, max = 10 #' ) #' -#' # default settings but assuming that delays are fixed rather than uncertain +#' # for more examples, see the "estimate_infections examples" vignette #' def <- estimate_infections(reported_cases, #' generation_time = generation_time_opts(generation_time), #' delays = delay_opts(incubation_period + reporting_delay), @@ -102,141 +102,6 @@ #' summary(def) #' # summary plot #' plot(def) -#' -#' # decreasing the accuracy of the approximate Gaussian to speed up -#' #computation. -#' # These settings are an area of active research. See ?gp_opts for details. -#' agp <- estimate_infections(reported_cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay), -#' rt = rt_opts(prior = list(mean = 2, sd = 0.1)), -#' gp = gp_opts(ls_min = 10, basis_prop = 0.1), -#' stan = stan_opts(control = list(adapt_delta = 0.95)) -#' ) -#' summary(agp) -#' plot(agp) -#' -#' # Adjusting for future susceptible depletion -#' dep <- estimate_infections(reported_cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay), -#' rt = rt_opts( -#' prior = list(mean = 2, sd = 0.1), -#' pop = 1000000, future = "latest" -#' ), -#' gp = gp_opts(ls_min = 10, basis_prop = 0.1), horizon = 21, -#' stan = stan_opts(control = list(adapt_delta = 0.95)) -#' ) -#' plot(dep) -#' -#' # Adjusting for truncation of the most recent data -#' # See estimate_truncation for an approach to estimating this from data -#' trunc_dist <- dist_spec( -#' mean = convert_to_logmean(0.5, 0.5), mean_sd = 0.1, -#' sd = convert_to_logsd(0.5, 0.5), sd_sd = 0.1, -#' max = 3 -#' ) -#' trunc <- estimate_infections(reported_cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay), -#' truncation = trunc_opts(trunc_dist), -#' rt = rt_opts(prior = list(mean = 2, sd = 0.1)), -#' gp = gp_opts(ls_min = 10, basis_prop = 0.1), -#' stan = stan_opts(control = list(adapt_delta = 0.95)) -#' ) -#' plot(trunc) -#' -#' # using back calculation (combined here with under reporting) -#' # this model is in the order of 10 ~ 100 faster than the gaussian process -#' # method -#' # it is likely robust for retrospective Rt but less reliable for real time -#' # estimates -#' # the width of the prior window controls the reliance on observed data and -#' # can be optionally switched off using backcalc_opts(prior = "none"), -#' # see ?backcalc_opts for other options -#' backcalc <- estimate_infections(reported_cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay), -#' rt = NULL, backcalc = backcalc_opts(), -#' obs = obs_opts(scale = list(mean = 0.4, sd = 0.05)), -#' horizon = 0 -#' ) -#' plot(backcalc) -#' -#' # Rt projected into the future using the Gaussian process -#' project_rt <- estimate_infections(reported_cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay), -#' rt = rt_opts( -#' prior = list(mean = 2, sd = 0.1), -#' future = "project" -#' ) -#' ) -#' plot(project_rt) -#' -#' # default settings on a later snapshot of data -#' snapshot_cases <- example_confirmed[80:130] -#' snapshot <- estimate_infections(snapshot_cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay), -#' rt = rt_opts(prior = list(mean = 1, sd = 0.1)) -#' ) -#' plot(snapshot) -#' -#' # stationary Rt assumption (likely to provide biased real-time estimates) -#' # with uncertain reporting delays -#' stat <- estimate_infections(reported_cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period_uncertain + reporting_delay), -#' rt = rt_opts(prior = list(mean = 2, sd = 0.1), gp_on = "R0") -#' ) -#' plot(stat) -#' -#' # no gaussian process (i.e fixed Rt assuming no breakpoints) -#' # with uncertain reporting delays -#' fixed <- estimate_infections(reported_cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period_uncertain + reporting_delay), -#' gp = NULL -#' ) -#' plot(fixed) -#' -#' # no delays -#' no_delay <- estimate_infections( -#' reported_cases, -#' generation_time = generation_time_opts(generation_time) -#' ) -#' plot(no_delay) -#' -#' # break point but otherwise static Rt -#' # with uncertain reporting delays -#' bp_cases <- data.table::copy(reported_cases) -#' bp_cases <- bp_cases[, -#' breakpoint := ifelse(date == as.Date("2020-03-16"), 1, 0) -#' ] -#' bkp <- estimate_infections(bp_cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period_uncertain + reporting_delay), -#' rt = rt_opts(prior = list(mean = 2, sd = 0.1)), -#' gp = NULL -#' ) -#' # break point effect -#' summary(bkp, type = "parameters", params = "breakpoints") -#' plot(bkp) -#' -#' # weekly random walk -#' # with uncertain reporting delays -#' rw <- estimate_infections(reported_cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period_uncertain + reporting_delay), -#' rt = rt_opts(prior = list(mean = 2, sd = 0.1), rw = 7), -#' gp = NULL -#' ) -#' -#' # random walk effects -#' summary(rw, type = "parameters", params = "breakpoints") -#' plot(rw) -#' #' options(old_opts) #' } estimate_infections <- function(reported_cases, diff --git a/R/get.R b/R/get.R index f0c21912e..fe01ab243 100644 --- a/R/get.R +++ b/R/get.R @@ -70,43 +70,10 @@ get_raw_result <- function(file, region, date, #' @importFrom purrr map safely #' @importFrom data.table rbindlist #' @examples -#' \donttest{ -#' # construct example distributions -#' generation_time <- get_generation_time( -#' disease = "SARS-CoV-2", source = "ganyani" -#' ) -#' incubation_period <- get_incubation_period( -#' disease = "SARS-CoV-2", source = "lauer" -#' ) -#' reporting_delay <- estimate_delay(rlnorm(100, log(6), 1), max_value = 10) -#' -#' # example case vector -#' cases <- example_confirmed[1:30] -#' cases <- data.table::rbindlist(list( -#' data.table::copy(cases)[, region := "testland"], -#' cases[, region := "realland"] -#' )) -#' -#' # save results to tmp folder -#' dir <- file.path(tempdir(check = TRUE), "results") -#' # run multiregion estimates -#' regional_out <- regional_epinow( -#' reported_cases = cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay), -#' rt = rt_opts(rw = 7), gp = NULL, -#' output = c("regions", "latest"), -#' target_folder = dir, -#' return_output = TRUE -#' ) +#' # get example multiregion estimates +#' regional_out <- example_regional_epinow #' # from output #' results <- get_regional_results(regional_out$regional, samples = FALSE) -#' names(results) -#' -#' # from a folder -#' folder_results <- get_regional_results(results_dir = dir, samples = FALSE) -#' names(folder_results) -#' } get_regional_results <- function(regional_output, results_dir, date, samples = TRUE, diff --git a/R/plot.R b/R/plot.R index 458efcc8e..5a92401d6 100644 --- a/R/plot.R +++ b/R/plot.R @@ -79,35 +79,19 @@ plot_CrIs <- function(plot, CrIs, alpha, linewidth) { #' @importFrom data.table setDT fifelse copy as.data.table #' @importFrom purrr map #' @examples -#' \donttest{ -#' # define example cases -#' cases <- example_confirmed[1:40] -#' -#' # set up example delays -#' generation_time <- get_generation_time( -#' disease = "SARS-CoV-2", source = "ganyani" -#' ) -#' incubation_period <- get_incubation_period( -#' disease = "SARS-CoV-2", source = "lauer" -#' ) -#' reporting_delay <- estimate_delay(rlnorm(100, log(6), 1), max_value = 10) -#' -#' # run model -#' out <- estimate_infections(cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay) -#' ) +#' # get example model results +#' out <- example_estimate_infections #' # plot infections #' plot_estimates( #' estimate = out$summarised[variable == "infections"], -#' reported = cases, +#' reported = out$observations, #' ylab = "Cases", max_plot = 2 #' ) + ggplot2::facet_wrap(~type, scales = "free_y") #' #' # plot reported cases estimated via Rt #' plot_estimates( #' estimate = out$summarised[variable == "reported_cases"], -#' reported = cases, +#' reported = out$observations, #' ylab = "Cases" #' ) #' @@ -124,7 +108,6 @@ plot_CrIs <- function(plot, CrIs, alpha, linewidth) { #' ylab = "Effective Reproduction No.", #' hline = 1, estimate_type = "Estimate" #' ) -#' } plot_estimates <- function(estimate, reported, ylab = "Cases", hline, obs_as_col = TRUE, max_plot = 10, estimate_type = NULL) { diff --git a/R/regional_epinow.R b/R/regional_epinow.R index dbb5a56cc..3001faa80 100644 --- a/R/regional_epinow.R +++ b/R/regional_epinow.R @@ -88,6 +88,7 @@ #' #' # run epinow across multiple regions and generate summaries #' # samples and warmup have been reduced for this example +#' # for more examples, see the "estimate_infections examples" vignette #' def <- regional_epinow( #' reported_cases = cases, #' generation_time = generation_time_opts(generation_time), @@ -99,24 +100,6 @@ #' ), #' verbose = interactive() #' ) -#' -#' # apply a different rt method per region -#' # (here a gaussian process and a weekly random walk) -#' gp <- opts_list(gp_opts(), cases) -#' gp <- update_list(gp, list(realland = NULL)) -#' rt <- opts_list(rt_opts(), cases, realland = rt_opts(rw = 7)) -#' region_rt <- regional_epinow( -#' reported_cases = cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay), -#' rt = rt, gp = gp, -#' stan = stan_opts( -#' samples = 100, warmup = 200, -#' control = list(adapt_delta = 0.95) -#' ), -#' verbose = interactive() -#' ) -#' #' options(old_opts) #' } regional_epinow <- function(reported_cases, diff --git a/R/report.R b/R/report.R index 734f21b38..aa1f22de5 100644 --- a/R/report.R +++ b/R/report.R @@ -262,36 +262,15 @@ report_summary <- function(summarised_estimates, #' `summarised_estimates[variable == "growth_rate"]`, respectively. #' @export #' @examples -#' \donttest{ -#' # define example cases -#' cases <- example_confirmed[1:40] -#' -#' # set up example delays -#' generation_time <- get_generation_time( -#' disease = "SARS-CoV-2", source = "ganyani" -#' ) -#' incubation_period <- get_incubation_period( -#' disease = "SARS-CoV-2", source = "lauer" -#' ) -#' reporting_delay <- bootstrapped_dist_fit( -#' rlnorm(100, log(6), 1), max_value = 30 -#' ) -#' -#' # run model -#' out <- estimate_infections(cases, -#' stan = stan_opts(samples = 500), -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay), -#' rt = NULL -#' ) +#' # get example output form estimate_infections +#' out <- example_estimate_infections #' #' # plot infections #' plots <- report_plots( #' summarised_estimates = out$summarised, -#' reported = cases +#' reported = out$observations #' ) #' plots -#' } report_plots <- function(summarised_estimates, reported, target_folder = NULL, ...) { # set input to data.table diff --git a/R/summarise.R b/R/summarise.R index c53f464dd..d5e821c23 100644 --- a/R/summarise.R +++ b/R/summarise.R @@ -165,37 +165,12 @@ summarise_results <- function(regions, #' @importFrom data.table setDT fcase #' @importFrom futile.logger flog.info #' @examples -#' \donttest{ -#' # example delays -#' generation_time <- get_generation_time( -#' disease = "SARS-CoV-2", source = "ganyani" -#' ) -#' incubation_period <- get_incubation_period( -#' disease = "SARS-CoV-2", source = "lauer" -#' ) -#' reporting_delay <- estimate_delay(rlnorm(100, log(6), 1), max_value = 30) -#' -#' # example case vector from EpiSoon -#' cases <- example_confirmed[1:30] -#' cases <- data.table::rbindlist(list( -#' data.table::copy(cases)[, region := "testland"], -#' cases[, region := "realland"] -#' )) -#' -#' # run basic nowcasting pipeline -#' out <- regional_epinow( -#' reported_cases = cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay), -#' output = "region", -#' rt = NULL -#' ) -#' +#' # get example output from regional_epinow model +#' out <- example_regional_epinow #' regional_summary( #' regional_output = out$regional, -#' reported_cases = cases +#' reported_cases = out$summary$reported_cases #' ) -#' } regional_summary <- function(regional_output = NULL, reported_cases, results_dir = NULL, @@ -526,33 +501,8 @@ summarise_key_measures <- function(regional_results = NULL, #' @importFrom data.table data.table fwrite #' @importFrom purrr map safely #' @examples -#' \donttest{ -#' # example delays -#' generation_time <- get_generation_time( -#' disease = "SARS-CoV-2", source = "ganyani" -#' ) -#' incubation_period <- get_incubation_period( -#' disease = "SARS-CoV-2", source = "lauer" -#' ) -#' reporting_delay <- estimate_delay(rlnorm(100, log(6), 1), max_value = 15) -#' -#' cases <- example_confirmed[1:30] -#' cases <- data.table::rbindlist(list( -#' data.table::copy(cases)[, region := "testland"], -#' cases[, region := "realland"] -#' )) -#' -#' # run basic nowcasting pipeline -#' regional_out <- regional_epinow( -#' reported_cases = cases, -#' generation_time = generation_time_opts(generation_time), -#' delays = delay_opts(incubation_period + reporting_delay), -#' stan = stan_opts(samples = 100, warmup = 100), -#' output = c("region", "timing") -#' ) -#' +#' regional_out <- example_regional_epinow # get example run outputs #' regional_runtimes(regional_output = regional_out$regional) -#' } regional_runtimes <- function(regional_output = NULL, target_folder = NULL, target_date = NULL, diff --git a/man/estimate_infections.Rd b/man/estimate_infections.Rd index f31e9b6a3..37080f9cf 100644 --- a/man/estimate_infections.Rd +++ b/man/estimate_infections.Rd @@ -134,7 +134,7 @@ reporting_delay <- dist_spec( sd = convert_to_logsd(2, 1), sd_sd = 0, max = 10 ) -# default settings but assuming that delays are fixed rather than uncertain +# for more examples, see the "estimate_infections examples" vignette def <- estimate_infections(reported_cases, generation_time = generation_time_opts(generation_time), delays = delay_opts(incubation_period + reporting_delay), @@ -145,141 +145,6 @@ def <- estimate_infections(reported_cases, summary(def) # summary plot plot(def) - -# decreasing the accuracy of the approximate Gaussian to speed up -#computation. -# These settings are an area of active research. See ?gp_opts for details. -agp <- estimate_infections(reported_cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay), - rt = rt_opts(prior = list(mean = 2, sd = 0.1)), - gp = gp_opts(ls_min = 10, basis_prop = 0.1), - stan = stan_opts(control = list(adapt_delta = 0.95)) -) -summary(agp) -plot(agp) - -# Adjusting for future susceptible depletion -dep <- estimate_infections(reported_cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay), - rt = rt_opts( - prior = list(mean = 2, sd = 0.1), - pop = 1000000, future = "latest" - ), - gp = gp_opts(ls_min = 10, basis_prop = 0.1), horizon = 21, - stan = stan_opts(control = list(adapt_delta = 0.95)) -) -plot(dep) - -# Adjusting for truncation of the most recent data -# See estimate_truncation for an approach to estimating this from data -trunc_dist <- dist_spec( - mean = convert_to_logmean(0.5, 0.5), mean_sd = 0.1, - sd = convert_to_logsd(0.5, 0.5), sd_sd = 0.1, - max = 3 -) -trunc <- estimate_infections(reported_cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay), - truncation = trunc_opts(trunc_dist), - rt = rt_opts(prior = list(mean = 2, sd = 0.1)), - gp = gp_opts(ls_min = 10, basis_prop = 0.1), - stan = stan_opts(control = list(adapt_delta = 0.95)) -) -plot(trunc) - -# using back calculation (combined here with under reporting) -# this model is in the order of 10 ~ 100 faster than the gaussian process -# method -# it is likely robust for retrospective Rt but less reliable for real time -# estimates -# the width of the prior window controls the reliance on observed data and -# can be optionally switched off using backcalc_opts(prior = "none"), -# see ?backcalc_opts for other options -backcalc <- estimate_infections(reported_cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay), - rt = NULL, backcalc = backcalc_opts(), - obs = obs_opts(scale = list(mean = 0.4, sd = 0.05)), - horizon = 0 -) -plot(backcalc) - -# Rt projected into the future using the Gaussian process -project_rt <- estimate_infections(reported_cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay), - rt = rt_opts( - prior = list(mean = 2, sd = 0.1), - future = "project" - ) -) -plot(project_rt) - -# default settings on a later snapshot of data -snapshot_cases <- example_confirmed[80:130] -snapshot <- estimate_infections(snapshot_cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay), - rt = rt_opts(prior = list(mean = 1, sd = 0.1)) -) -plot(snapshot) - -# stationary Rt assumption (likely to provide biased real-time estimates) -# with uncertain reporting delays -stat <- estimate_infections(reported_cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period_uncertain + reporting_delay), - rt = rt_opts(prior = list(mean = 2, sd = 0.1), gp_on = "R0") -) -plot(stat) - -# no gaussian process (i.e fixed Rt assuming no breakpoints) -# with uncertain reporting delays -fixed <- estimate_infections(reported_cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period_uncertain + reporting_delay), - gp = NULL -) -plot(fixed) - -# no delays -no_delay <- estimate_infections( - reported_cases, - generation_time = generation_time_opts(generation_time) -) -plot(no_delay) - -# break point but otherwise static Rt -# with uncertain reporting delays -bp_cases <- data.table::copy(reported_cases) -bp_cases <- bp_cases[, - breakpoint := ifelse(date == as.Date("2020-03-16"), 1, 0) -] -bkp <- estimate_infections(bp_cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period_uncertain + reporting_delay), - rt = rt_opts(prior = list(mean = 2, sd = 0.1)), - gp = NULL -) -# break point effect -summary(bkp, type = "parameters", params = "breakpoints") -plot(bkp) - -# weekly random walk -# with uncertain reporting delays -rw <- estimate_infections(reported_cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period_uncertain + reporting_delay), - rt = rt_opts(prior = list(mean = 2, sd = 0.1), rw = 7), - gp = NULL -) - -# random walk effects -summary(rw, type = "parameters", params = "breakpoints") -plot(rw) - options(old_opts) } } diff --git a/man/get_regional_results.Rd b/man/get_regional_results.Rd index 5a16040c4..77432946c 100644 --- a/man/get_regional_results.Rd +++ b/man/get_regional_results.Rd @@ -37,43 +37,10 @@ Summarises results across regions either from input or from disk. See the examples for details. } \examples{ -\donttest{ -# construct example distributions -generation_time <- get_generation_time( - disease = "SARS-CoV-2", source = "ganyani" -) -incubation_period <- get_incubation_period( - disease = "SARS-CoV-2", source = "lauer" -) -reporting_delay <- estimate_delay(rlnorm(100, log(6), 1), max_value = 10) - -# example case vector -cases <- example_confirmed[1:30] -cases <- data.table::rbindlist(list( - data.table::copy(cases)[, region := "testland"], - cases[, region := "realland"] -)) - -# save results to tmp folder -dir <- file.path(tempdir(check = TRUE), "results") -# run multiregion estimates -regional_out <- regional_epinow( - reported_cases = cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay), - rt = rt_opts(rw = 7), gp = NULL, - output = c("regions", "latest"), - target_folder = dir, - return_output = TRUE -) +# get example multiregion estimates +regional_out <- example_regional_epinow # from output results <- get_regional_results(regional_out$regional, samples = FALSE) -names(results) - -# from a folder -folder_results <- get_regional_results(results_dir = dir, samples = FALSE) -names(folder_results) -} } \author{ Sam Abbott diff --git a/man/plot_estimates.Rd b/man/plot_estimates.Rd index 77b2e7a00..063a04b57 100644 --- a/man/plot_estimates.Rd +++ b/man/plot_estimates.Rd @@ -49,35 +49,19 @@ releases it may be depreciated in favour of increasing the functionality of the S3 plot methods. } \examples{ -\donttest{ -# define example cases -cases <- example_confirmed[1:40] - -# set up example delays -generation_time <- get_generation_time( - disease = "SARS-CoV-2", source = "ganyani" -) -incubation_period <- get_incubation_period( - disease = "SARS-CoV-2", source = "lauer" -) -reporting_delay <- estimate_delay(rlnorm(100, log(6), 1), max_value = 10) - -# run model -out <- estimate_infections(cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay) -) +# get example model results +out <- example_estimate_infections # plot infections plot_estimates( estimate = out$summarised[variable == "infections"], - reported = cases, + reported = out$observations, ylab = "Cases", max_plot = 2 ) + ggplot2::facet_wrap(~type, scales = "free_y") # plot reported cases estimated via Rt plot_estimates( estimate = out$summarised[variable == "reported_cases"], - reported = cases, + reported = out$observations, ylab = "Cases" ) @@ -95,4 +79,3 @@ plot_estimates( hline = 1, estimate_type = "Estimate" ) } -} diff --git a/man/regional_epinow.Rd b/man/regional_epinow.Rd index 05b1fe593..a022d977e 100644 --- a/man/regional_epinow.Rd +++ b/man/regional_epinow.Rd @@ -157,6 +157,7 @@ cases <- data.table::rbindlist(list( # run epinow across multiple regions and generate summaries # samples and warmup have been reduced for this example +# for more examples, see the "estimate_infections examples" vignette def <- regional_epinow( reported_cases = cases, generation_time = generation_time_opts(generation_time), @@ -168,24 +169,6 @@ def <- regional_epinow( ), verbose = interactive() ) - -# apply a different rt method per region -# (here a gaussian process and a weekly random walk) -gp <- opts_list(gp_opts(), cases) -gp <- update_list(gp, list(realland = NULL)) -rt <- opts_list(rt_opts(), cases, realland = rt_opts(rw = 7)) -region_rt <- regional_epinow( - reported_cases = cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay), - rt = rt, gp = gp, - stan = stan_opts( - samples = 100, warmup = 200, - control = list(adapt_delta = 0.95) - ), - verbose = interactive() -) - options(old_opts) } } diff --git a/man/regional_runtimes.Rd b/man/regional_runtimes.Rd index f7f181f4d..d6bc48110 100644 --- a/man/regional_runtimes.Rd +++ b/man/regional_runtimes.Rd @@ -33,34 +33,9 @@ A data.table of region run times Used internally by \code{regional_epinow} to summarise region run times. } \examples{ -\donttest{ -# example delays -generation_time <- get_generation_time( - disease = "SARS-CoV-2", source = "ganyani" -) -incubation_period <- get_incubation_period( - disease = "SARS-CoV-2", source = "lauer" -) -reporting_delay <- estimate_delay(rlnorm(100, log(6), 1), max_value = 15) - -cases <- example_confirmed[1:30] -cases <- data.table::rbindlist(list( - data.table::copy(cases)[, region := "testland"], - cases[, region := "realland"] -)) - -# run basic nowcasting pipeline -regional_out <- regional_epinow( - reported_cases = cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay), - stan = stan_opts(samples = 100, warmup = 100), - output = c("region", "timing") -) - +regional_out <- example_regional_epinow # get example run outputs regional_runtimes(regional_output = regional_out$regional) } -} \seealso{ regional_summary regional_epinow } diff --git a/man/regional_summary.Rd b/man/regional_summary.Rd index 834201ae6..fb64d2dd0 100644 --- a/man/regional_summary.Rd +++ b/man/regional_summary.Rd @@ -62,38 +62,13 @@ Used to produce summary output either internally in \code{regional_epinow} or externally. } \examples{ -\donttest{ -# example delays -generation_time <- get_generation_time( - disease = "SARS-CoV-2", source = "ganyani" -) -incubation_period <- get_incubation_period( - disease = "SARS-CoV-2", source = "lauer" -) -reporting_delay <- estimate_delay(rlnorm(100, log(6), 1), max_value = 30) - -# example case vector from EpiSoon -cases <- example_confirmed[1:30] -cases <- data.table::rbindlist(list( - data.table::copy(cases)[, region := "testland"], - cases[, region := "realland"] -)) - -# run basic nowcasting pipeline -out <- regional_epinow( - reported_cases = cases, - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay), - output = "region", - rt = NULL -) - +# get example output from regional_epinow model +out <- example_regional_epinow regional_summary( regional_output = out$regional, - reported_cases = cases + reported_cases = out$summary$reported_cases ) } -} \seealso{ regional_epinow } diff --git a/man/report_plots.Rd b/man/report_plots.Rd index ca2eba88d..da195ccc9 100644 --- a/man/report_plots.Rd +++ b/man/report_plots.Rd @@ -31,37 +31,16 @@ Returns key summary plots for estimates. May be depreciated in later releases as current S3 methods are enhanced. } \examples{ -\donttest{ -# define example cases -cases <- example_confirmed[1:40] - -# set up example delays -generation_time <- get_generation_time( - disease = "SARS-CoV-2", source = "ganyani" -) -incubation_period <- get_incubation_period( - disease = "SARS-CoV-2", source = "lauer" -) -reporting_delay <- bootstrapped_dist_fit( - rlnorm(100, log(6), 1), max_value = 30 -) - -# run model -out <- estimate_infections(cases, - stan = stan_opts(samples = 500), - generation_time = generation_time_opts(generation_time), - delays = delay_opts(incubation_period + reporting_delay), - rt = NULL -) +# get example output form estimate_infections +out <- example_estimate_infections # plot infections plots <- report_plots( summarised_estimates = out$summarised, - reported = cases + reported = out$observations ) plots } -} \seealso{ \code{\link[=plot_estimates]{plot_estimates()}} of \code{summarised_estimates[variable == "infections"]}, From 080a8a46b2b89d22048a1caeb654c3925e72cc1d Mon Sep 17 00:00:00 2001 From: GitHub Action Date: Wed, 27 Sep 2023 14:29:32 +0000 Subject: [PATCH 3/6] Automatic readme update --- README.md | 95 +++++++++++++++-------------- man/figures/unnamed-chunk-15-1.png | Bin 441031 -> 445836 bytes man/figures/unnamed-chunk-19-1.png | Bin 138854 -> 138865 bytes 3 files changed, 49 insertions(+), 46 deletions(-) diff --git a/README.md b/README.md index d38a4a2a9..36c45813e 100644 --- a/README.md +++ b/README.md @@ -243,6 +243,9 @@ estimates <- epinow( stan = stan_opts(cores = 4, control = list(adapt_delta = 0.99)), verbose = interactive() ) +#> WARN [2023-09-27 14:28:15] epinow: Bulk Effective Samples Size (ESS) is too low, indicating posterior means and medians may be unreliable. +#> Running the chains for more iterations may help. See +#> https://mc-stan.org/misc/warnings.html#bulk-ess - names(estimates) #> [1] "estimates" "estimated_reported_cases" #> [3] "summary" "plots" @@ -258,13 +261,13 @@ parameters at the latest date partially supported by data. knitr::kable(summary(estimates)) ``` -| measure | estimate | -|:--------------------------------------|:----------------------| -| New confirmed cases by infection date | 2313 (1159 – 4345) | -| Expected change in daily cases | Likely decreasing | -| Effective reproduction no. | 0.89 (0.62 – 1.2) | -| Rate of growth | -0.026 (-0.1 – 0.038) | -| Doubling/halving time (days) | -26 (18 – -6.7) | +| measure | estimate | +|:--------------------------------------|:-----------------------| +| New confirmed cases by infection date | 2279 (1118 – 4301) | +| Expected change in daily cases | Likely decreasing | +| Effective reproduction no. | 0.89 (0.62 – 1.2) | +| Rate of growth | -0.027 (-0.11 – 0.038) | +| Doubling/halving time (days) | -25 (18 – -6.6) | Summarised parameter estimates can also easily be returned, either filtered for a single parameter or for all parameters. @@ -272,19 +275,19 @@ filtered for a single parameter or for all parameters. ``` r head(summary(estimates, type = "parameters", params = "R")) #> date variable strat type median mean sd lower_90 -#> 1: 2020-02-22 R NA estimate 2.140044 2.142893 0.13818099 1.937615 -#> 2: 2020-02-23 R NA estimate 2.105628 2.106892 0.11415164 1.936612 -#> 3: 2020-02-24 R NA estimate 2.068985 2.069442 0.09420757 1.921287 -#> 4: 2020-02-25 R NA estimate 2.031434 2.030725 0.07830576 1.907767 -#> 5: 2020-02-26 R NA estimate 1.991226 1.990969 0.06634858 1.884688 -#> 6: 2020-02-27 R NA estimate 1.950962 1.950427 0.05807390 1.856440 +#> 1: 2020-02-22 R NA estimate 2.132829 2.137525 0.13485496 1.922173 +#> 2: 2020-02-23 R NA estimate 2.098537 2.101913 0.11121883 1.924287 +#> 3: 2020-02-24 R NA estimate 2.064197 2.064871 0.09229141 1.917506 +#> 4: 2020-02-25 R NA estimate 2.025665 2.026552 0.07781861 1.900920 +#> 5: 2020-02-26 R NA estimate 1.985770 1.987160 0.06736735 1.878103 +#> 6: 2020-02-27 R NA estimate 1.946217 1.946932 0.06027737 1.849663 #> lower_50 lower_20 upper_20 upper_50 upper_90 -#> 1: 2.046299 2.104219 2.174057 2.232616 2.370781 -#> 2: 2.025782 2.075403 2.132810 2.182697 2.294095 -#> 3: 2.003747 2.044222 2.090967 2.131610 2.225019 -#> 4: 1.977390 2.010528 2.048636 2.082264 2.163819 -#> 5: 1.944677 1.974170 2.008207 2.035011 2.103163 -#> 6: 1.910567 1.935790 1.965265 1.988672 2.046538 +#> 1: 2.046920 2.098708 2.166627 2.223948 2.366795 +#> 2: 2.027190 2.071652 2.128400 2.174681 2.290964 +#> 3: 2.002659 2.040515 2.087058 2.127006 2.220110 +#> 4: 1.974456 2.007299 2.044107 2.077997 2.158944 +#> 5: 1.942225 1.969654 2.002432 2.030157 2.099359 +#> 6: 1.907058 1.930582 1.961116 1.985619 2.045692 ``` Reported cases are returned in a separate data frame in order to @@ -293,19 +296,19 @@ streamline the reporting of forecasts and for model evaluation. ``` r head(summary(estimates, output = "estimated_reported_cases")) #> date type median mean sd lower_90 lower_50 lower_20 -#> 1: 2020-02-22 gp_rt 65.5 67.2870 18.83096 40 54 61 -#> 2: 2020-02-23 gp_rt 78.0 78.8395 21.73755 47 63 72 -#> 3: 2020-02-24 gp_rt 77.0 78.8920 21.59142 47 64 72 -#> 4: 2020-02-25 gp_rt 73.0 75.0705 20.82804 45 61 68 -#> 5: 2020-02-26 gp_rt 78.0 79.8325 22.03166 47 65 73 -#> 6: 2020-02-27 gp_rt 110.0 112.9160 28.92359 71 92 103 +#> 1: 2020-02-22 gp_rt 61 62.9225 16.90344 39.00 51 57.0 +#> 2: 2020-02-23 gp_rt 76 77.0560 20.88159 46.00 62 70.6 +#> 3: 2020-02-24 gp_rt 77 79.0875 21.69463 48.95 64 72.0 +#> 4: 2020-02-25 gp_rt 75 76.1825 20.03599 46.00 62 70.0 +#> 5: 2020-02-26 gp_rt 79 81.1295 22.38634 49.00 65 74.0 +#> 6: 2020-02-27 gp_rt 113 115.4200 28.91020 71.00 95 106.0 #> upper_20 upper_50 upper_90 -#> 1: 70 79.00 101 -#> 2: 83 92.00 117 -#> 3: 82 92.00 116 -#> 4: 78 87.00 115 -#> 5: 83 91.25 120 -#> 6: 118 130.00 165 +#> 1: 66 73 94.00 +#> 2: 81 90 113.00 +#> 3: 83 92 118.05 +#> 4: 80 89 111.05 +#> 5: 85 94 121.00 +#> 6: 121 134 167.00 ``` A range of plots are returned (with the single summary plot shown @@ -354,19 +357,19 @@ estimates <- regional_epinow( gp = NULL, stan = stan_opts(cores = 4, warmup = 250, samples = 1000) ) -#> INFO [2023-06-09 13:52:11] Producing following optional outputs: regions, summary, samples, plots, latest -#> INFO [2023-06-09 13:52:11] Reporting estimates using data up to: 2020-04-21 -#> INFO [2023-06-09 13:52:11] No target directory specified so returning output -#> INFO [2023-06-09 13:52:11] Producing estimates for: testland, realland -#> INFO [2023-06-09 13:52:11] Regions excluded: none -#> INFO [2023-06-09 13:52:40] Completed estimates for: testland -#> INFO [2023-06-09 13:53:07] Completed estimates for: realland -#> INFO [2023-06-09 13:53:07] Completed regional estimates -#> INFO [2023-06-09 13:53:07] Regions with estimates: 2 -#> INFO [2023-06-09 13:53:07] Regions with runtime errors: 0 -#> INFO [2023-06-09 13:53:07] Producing summary -#> INFO [2023-06-09 13:53:07] No summary directory specified so returning summary output -#> INFO [2023-06-09 13:53:08] No target directory specified so returning timings +#> INFO [2023-09-27 14:28:21] Producing following optional outputs: regions, summary, samples, plots, latest +#> INFO [2023-09-27 14:28:21] Reporting estimates using data up to: 2020-04-21 +#> INFO [2023-09-27 14:28:21] No target directory specified so returning output +#> INFO [2023-09-27 14:28:21] Producing estimates for: testland, realland +#> INFO [2023-09-27 14:28:21] Regions excluded: none +#> INFO [2023-09-27 14:28:54] Completed estimates for: testland +#> INFO [2023-09-27 14:29:24] Completed estimates for: realland +#> INFO [2023-09-27 14:29:24] Completed regional estimates +#> INFO [2023-09-27 14:29:24] Regions with estimates: 2 +#> INFO [2023-09-27 14:29:24] Regions with runtime errors: 0 +#> INFO [2023-09-27 14:29:24] Producing summary +#> INFO [2023-09-27 14:29:24] No summary directory specified so returning summary output +#> INFO [2023-09-27 14:29:25] No target directory specified so returning timings ``` Results from each region are stored in a `regional` list with across @@ -391,8 +394,8 @@ knitr::kable(estimates$summary$summarised_results$table) | Region | New confirmed cases by infection date | Expected change in daily cases | Effective reproduction no. | Rate of growth | Doubling/halving time (days) | |:---------|:--------------------------------------|:-------------------------------|:---------------------------|:------------------------|:-----------------------------| -| realland | 2176 (1192 – 4065) | Likely decreasing | 0.87 (0.65 – 1.1) | -0.032 (-0.096 – 0.03) | -22 (23 – -7.2) | -| testland | 2217 (1150 – 4155) | Likely decreasing | 0.87 (0.64 – 1.2) | -0.031 (-0.099 – 0.036) | -23 (19 – -7) | +| realland | 2150 (1109 – 4062) | Likely decreasing | 0.86 (0.64 – 1.1) | -0.033 (-0.098 – 0.029) | -21 (24 – -7.1) | +| testland | 2149 (1182 – 4040) 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@@ Suggests: styler, testthat, tidyr, + usethis, withr LinkingTo: BH (>= 1.66.0), diff --git a/data-raw/estimate-infections.R b/data-raw/estimate-infections.R index 61ea082ca..f86330c23 100644 --- a/data-raw/estimate-infections.R +++ b/data-raw/estimate-infections.R @@ -1,5 +1,4 @@ library("EpiNow2") -library("here") # get example case counts reported_cases <- example_confirmed[1:60] @@ -40,7 +39,7 @@ example_regional_epinow <- regional_epinow( generation_time = generation_time_opts(generation_time), delays = delay_opts(incubation_period + reporting_delay), rt = rt_opts(prior = list(mean = 2, sd = 0.2)), - stan = stan_opts( samples = 200, control = list(adapt_delta = 0.95)) + stan = stan_opts(samples = 200, control = list(adapt_delta = 0.95)) ) usethis::use_data(example_estimate_infections, overwrite = TRUE) From f07ae5b9b740c14e6b25e5a577e9ffedc61e6d0d Mon Sep 17 00:00:00 2001 From: Sebastian Funk Date: Wed, 27 Sep 2023 15:50:05 +0100 Subject: [PATCH 5/6] add news item --- NEWS.md | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/NEWS.md b/NEWS.md index f78d75e6d..dc3097359 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,5 +1,9 @@ # EpiNow2 1.4.9000 +## Package + +* Reduced the number of long-running examples. + # EpiNow2 1.4.0 This release contains some bug fixes, minor new features, and the initial stages of some broader improvement to future handling of delay distributions. From fbe2745b757ff1661cfb53dadbe473d43d3aa1ea Mon Sep 17 00:00:00 2001 From: Sebastian Funk Date: Fri, 29 Sep 2023 17:19:16 +0100 Subject: [PATCH 6/6] move examples to extdata --- R/data.R | 18 ------------------ R/get.R | 5 ++++- R/plot.R | 5 ++++- R/report.R | 4 +++- R/summarise.R | 13 +++++++++---- data-raw/estimate-infections.R | 15 +++++++++++++-- data/example_estimate_infections.rda | Bin 1309328 -> 0 bytes data/example_regional_epinow.rda | Bin 3143380 -> 0 bytes inst/extdata/example_estimate_infections.rds | Bin 0 -> 769268 bytes inst/extdata/example_regional_epinow.rds | Bin 0 -> 1437640 bytes man/example_estimate_infections.Rd | 19 ------------------- man/example_regional_epinow.Rd | 19 ------------------- man/get_regional_results.Rd | 5 ++++- man/plot_estimates.Rd | 5 ++++- man/regional_runtimes.Rd | 4 +++- man/regional_summary.Rd | 9 ++++++--- man/report_plots.Rd | 4 +++- 17 files changed, 53 insertions(+), 72 deletions(-) delete mode 100644 data/example_estimate_infections.rda delete mode 100644 data/example_regional_epinow.rda create mode 100644 inst/extdata/example_estimate_infections.rds create mode 100644 inst/extdata/example_regional_epinow.rds delete mode 100644 man/example_estimate_infections.Rd delete mode 100644 man/example_regional_epinow.Rd diff --git a/R/data.R b/R/data.R index 8f0b24438..a59702d65 100644 --- a/R/data.R +++ b/R/data.R @@ -21,21 +21,3 @@ #' An example data frame of observed cases #' @format A data frame containing cases reported on each date. "example_confirmed" - -#' Example estimate_infections output -#' -#' @description `r lifecycle::badge("stable")` -#' An example output of `estimate_infections` containing 200 samples. -#' See here for details: -#' https://github.com/epiforecasts/EpiNow2/blob/main/data-raw/estimate_infections.R # nolint -#' @format An `estimate_infections` object with the results -"example_estimate_infections" - -#' Example regional_epinow output -#' -#' @description `r lifecycle::badge("stable")` -#' An example output of `regional_epinow` containing 200 samples per region. -#' See here for details: -#' https://github.com/epiforecasts/EpiNow2/blob/main/data-raw/estimate_infections.R # nolint -#' @format A list with the results -"example_regional_epinow" diff --git a/R/get.R b/R/get.R index fe01ab243..544199907 100644 --- a/R/get.R +++ b/R/get.R @@ -71,7 +71,10 @@ get_raw_result <- function(file, region, date, #' @importFrom data.table rbindlist #' @examples #' # get example multiregion estimates -#' regional_out <- example_regional_epinow +#' regional_out <- readRDS(system.file( +#' package = "EpiNow2", "extdata", "example_regional_epinow.rds" +#' )) +#' #' # from output #' results <- get_regional_results(regional_out$regional, samples = FALSE) get_regional_results <- function(regional_output, diff --git a/R/plot.R b/R/plot.R index 5a92401d6..002a62055 100644 --- a/R/plot.R +++ b/R/plot.R @@ -80,7 +80,10 @@ plot_CrIs <- function(plot, CrIs, alpha, linewidth) { #' @importFrom purrr map #' @examples #' # get example model results -#' out <- example_estimate_infections +#' out <- readRDS(system.file( +#' package = "EpiNow2", "extdata", "example_estimate_infections.rds" +#' )) +#' #' # plot infections #' plot_estimates( #' estimate = out$summarised[variable == "infections"], diff --git a/R/report.R b/R/report.R index aa1f22de5..13f55ba7f 100644 --- a/R/report.R +++ b/R/report.R @@ -263,7 +263,9 @@ report_summary <- function(summarised_estimates, #' @export #' @examples #' # get example output form estimate_infections -#' out <- example_estimate_infections +#' out <- readRDS(system.file( +#' package = "EpiNow2", "extdata", "example_estimate_infections.rds" +#' )) #' #' # plot infections #' plots <- report_plots( diff --git a/R/summarise.R b/R/summarise.R index d5e821c23..46f0c2f2f 100644 --- a/R/summarise.R +++ b/R/summarise.R @@ -166,10 +166,13 @@ summarise_results <- function(regions, #' @importFrom futile.logger flog.info #' @examples #' # get example output from regional_epinow model -#' out <- example_regional_epinow +#' regional_out <- readRDS(system.file( +#' package = "EpiNow2", "extdata", "example_regional_epinow.rds" +#' )) +#' #' regional_summary( -#' regional_output = out$regional, -#' reported_cases = out$summary$reported_cases +#' regional_output = regional_out$regional, +#' reported_cases = regional_out$summary$reported_cases #' ) regional_summary <- function(regional_output = NULL, reported_cases, @@ -501,7 +504,9 @@ summarise_key_measures <- function(regional_results = NULL, #' @importFrom data.table data.table fwrite #' @importFrom purrr map safely #' @examples -#' regional_out <- example_regional_epinow # get example run outputs +#' regional_out <- readRDS(system.file( +#' package = "EpiNow2", "extdata", "example_regional_epinow.rds" +#' )) #' regional_runtimes(regional_output = regional_out$regional) regional_runtimes <- function(regional_output = NULL, target_folder = NULL, diff --git a/data-raw/estimate-infections.R b/data-raw/estimate-infections.R index f86330c23..835d0e7b3 100644 --- a/data-raw/estimate-infections.R +++ b/data-raw/estimate-infections.R @@ -1,4 +1,7 @@ library("EpiNow2") +library("here") + +options(mc.cores = 4) # get example case counts reported_cases <- example_confirmed[1:60] @@ -42,5 +45,13 @@ example_regional_epinow <- regional_epinow( stan = stan_opts(samples = 200, control = list(adapt_delta = 0.95)) ) -usethis::use_data(example_estimate_infections, overwrite = TRUE) 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-\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#stable}{\figure{lifecycle-stable.svg}{options: alt='[Stable]'}}}{\strong{[Stable]}} -An example output of \code{estimate_infections} containing 200 samples. -See here for details: -https://github.com/epiforecasts/EpiNow2/blob/main/data-raw/estimate_infections.R # nolint -} -\keyword{datasets} diff --git a/man/example_regional_epinow.Rd b/man/example_regional_epinow.Rd deleted file mode 100644 index 0c9587a7a..000000000 --- a/man/example_regional_epinow.Rd +++ /dev/null @@ -1,19 +0,0 @@ -% Generated by roxygen2: do not edit by hand -% Please edit documentation in R/data.R -\docType{data} -\name{example_regional_epinow} -\alias{example_regional_epinow} -\title{Example regional_epinow output} -\format{ -A list with the results -} -\usage{ -example_regional_epinow -} -\description{ -\ifelse{html}{\href{https://lifecycle.r-lib.org/articles/stages.html#stable}{\figure{lifecycle-stable.svg}{options: alt='[Stable]'}}}{\strong{[Stable]}} -An example output of \code{regional_epinow} containing 200 samples per region. -See here for details: -https://github.com/epiforecasts/EpiNow2/blob/main/data-raw/estimate_infections.R # nolint -} -\keyword{datasets} diff --git a/man/get_regional_results.Rd b/man/get_regional_results.Rd index 77432946c..765f0bd05 100644 --- a/man/get_regional_results.Rd +++ b/man/get_regional_results.Rd @@ -38,7 +38,10 @@ examples for details. } \examples{ # get example multiregion estimates -regional_out <- example_regional_epinow +regional_out <- readRDS(system.file( + package = "EpiNow2", "extdata", "example_regional_epinow.rds" +)) + # from output results <- get_regional_results(regional_out$regional, samples = FALSE) } diff --git a/man/plot_estimates.Rd b/man/plot_estimates.Rd index 063a04b57..ad2c12d12 100644 --- a/man/plot_estimates.Rd +++ b/man/plot_estimates.Rd @@ -50,7 +50,10 @@ the S3 plot methods. } \examples{ # get example model results -out <- example_estimate_infections +out <- readRDS(system.file( + package = "EpiNow2", "extdata", "example_estimate_infections.rds" +)) + # plot infections plot_estimates( estimate = out$summarised[variable == "infections"], diff --git a/man/regional_runtimes.Rd b/man/regional_runtimes.Rd index d6bc48110..50481cb46 100644 --- a/man/regional_runtimes.Rd +++ b/man/regional_runtimes.Rd @@ -33,7 +33,9 @@ A data.table of region run times Used internally by \code{regional_epinow} to summarise region run times. } \examples{ -regional_out <- example_regional_epinow # get example run outputs +regional_out <- readRDS(system.file( + package = "EpiNow2", "extdata", "example_regional_epinow.rds" +)) regional_runtimes(regional_output = regional_out$regional) } \seealso{ diff --git a/man/regional_summary.Rd b/man/regional_summary.Rd index fb64d2dd0..0e37486bc 100644 --- a/man/regional_summary.Rd +++ b/man/regional_summary.Rd @@ -63,10 +63,13 @@ externally. } \examples{ # get example output from regional_epinow model -out <- example_regional_epinow +regional_out <- readRDS(system.file( + package = "EpiNow2", "extdata", "example_regional_epinow.rds" +)) + regional_summary( - regional_output = out$regional, - reported_cases = out$summary$reported_cases + regional_output = regional_out$regional, + reported_cases = regional_out$summary$reported_cases ) } \seealso{ diff --git a/man/report_plots.Rd b/man/report_plots.Rd index da195ccc9..978095bf1 100644 --- a/man/report_plots.Rd +++ b/man/report_plots.Rd @@ -32,7 +32,9 @@ releases as current S3 methods are enhanced. } \examples{ # get example output form estimate_infections -out <- example_estimate_infections +out <- readRDS(system.file( + package = "EpiNow2", "extdata", "example_estimate_infections.rds" +)) # plot infections plots <- report_plots(

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