From 4d0e64815c0e96a4c1ed0bbb7673deb7050f8593 Mon Sep 17 00:00:00 2001 From: Sebastian Funk Date: Mon, 16 Oct 2023 10:08:15 +0100 Subject: [PATCH] add parenthesis --- vignettes/estimate_truncation.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/vignettes/estimate_truncation.Rmd b/vignettes/estimate_truncation.Rmd index d1c430c8e..69c18213d 100644 --- a/vignettes/estimate_truncation.Rmd +++ b/vignettes/estimate_truncation.Rmd @@ -19,7 +19,7 @@ knitr::opts_chunk$set( This model deals with the problem of _nowcasting_, or adjusting for right-truncation in reported count data. This occurs when the quantity being observed, for example cases, hospitalisations or deaths, is reported with a delay, resulting in an underestimation of recent counts. The `estimate_truncation()` model attempts to infer parameters of the underlying delay distributions from multiple snapshots of past data. It is designed to be a simple model that can integrate with the other models in the package and therefore may not be ideal for all uses. For a more principled approach to nowcasting please consider using the [epinowcast](https://package.epinowcast.org) package. -Given snapshots $C^{i}_{t}$ reflecting reported counts for time $t$ where $i=1\ldots S$ is in order of recency (earliest snapshots first) and $S$ is the number of past snapshots used for estimation, we try to infer the parameters of a discrete truncation distribution $\zeta(\tau | \mu_{\zeta}, \sigma_{\zeta})$ with corresponding probability mass function $Z(\tau | \mu_{\zeta}$. +Given snapshots $C^{i}_{t}$ reflecting reported counts for time $t$ where $i=1\ldots S$ is in order of recency (earliest snapshots first) and $S$ is the number of past snapshots used for estimation, we try to infer the parameters of a discrete truncation distribution $\zeta(\tau | \mu_{\zeta}, \sigma_{\zeta})$ with corresponding probability mass function $Z(\tau | \mu_{\zeta}$). The model assumes that final counts $D_{t}$ are related to observed snapshots via the truncation distribution such that