make indentation consistent

R/opts.R

@@ -427,31 +427,26 @@ gp_opts <- function(basis_prop = 0.2,
 #' Defines a list specifying the structure of the observation
 #' model. Custom settings can be supplied which override the defaults.
 #' @param family Character string defining the observation model. Options are
-#' Negative binomial ("negbin"), the default, and Poisson.
-#' @param phi A numeric vector of length 2, defaults to 0, 1. Indicates the
-#' mean and standard deviation of the normal prior used for the observation
-#' process.
-#'
-#' @param weight Numeric, defaults to 1. Weight to give the observed data in
-#'  the log density.
+#'   Negative binomial ("negbin"), the default, and Poisson.
+#' @param phi A numeric vector of length 2, defaults to 0, 1. Indicates the mean
+#'   and standard deviation of the normal prior used for the observation
+#'   process.
+#' @param weight Numeric, defaults to 1. Weight to give the observed data in the
+#'   log density.
 #' @param week_effect Logical defaulting to `TRUE`. Should a day of the week
-#' effect be used in the observation model.
-#'
+#'   effect be used in the observation model.
 #' @param week_length Numeric assumed length of the week in days, defaulting to
-#' 7 days. This can be modified if data aggregated over a period other than a
-#' week or if data has a non-weekly periodicity.
-#'
+#'   7 days. This can be modified if data aggregated over a period other than a
+#'   week or if data has a non-weekly periodicity.
 #' @param scale Defaults to 1. Should an scaling factor be applied to
 #'   map latent infections (convolved to date of report). Can be supplied either
 #'   as a single numeric value (fixed scale) or a list with numeric elements
 #'   mean (`mean`) and standard deviation (`sd`) defining a normally
 #'   distributed scaling factor.
-#'
 #' @param likelihood Logical, defaults to `TRUE`. Should the likelihood be
-#' included in the model.
-#'
+#'   included in the model.
 #' @param return_likelihood Logical, defaults to `FALSE`. Should the likelihood
-#' be returned by the model.
+#'   be returned by the model.
 #' @importFrom rlang arg_match
 #'
 #' @return An `<obs_opts>` object of observation model settings.