fix typos/links

R/dist_spec.R

@@ -20,10 +20,10 @@
 #' Charniga, K., et al. “Best practices for estimating and reporting
 #'   epidemiological delay distributions of infectious diseases using public
 #'   health surveillance and healthcare data”, *arXiv e-prints*, 2024.
-#'   <https://doi.org/10.48550/arXiv.2405.08841>
+#'   \doi{10.48550/arXiv.2405.08841}
 #' Park,  S. W.,  et al.,  "Estimating epidemiological delay distributions for
 #'   infectious diseases", *medRxiv*, 2024.
-#'   <https://doi.org/10.1101/2024.01.12.24301247>
+#'   \doi{<https://doi.org/10.1101/2024.01.12.24301247}
 #'
 #' @param distribution A character string representing the distribution to be
 #'   used (one of "exp", "gamma", "lognormal", "normal" or "fixed")

R/opts.R

@@ -571,7 +571,7 @@ gp_opts <- function(basis_prop = 0.2,
 #'   `familiy` is "negbin". Can be supplied either as a single numeric value
 #'   (fixed overdispersion) or a list with numeric elements mean (`mean`) and
 #'   standard deviation (`sd`) defining a normally distributed prior.
-#'   Internally parametersed such that the overedispersion is one over the
+#'   Internally parameterised such that the overdispersion is one over the
 #'   square of this prior overdispersion. Defaults to a list with elements
 #'   `mean = 0` and `sd = 0.25`.
 #' @param weight Numeric, defaults to 1. Weight to give the observed data in the

README.Rmd

@@ -15,7 +15,7 @@ knitr::opts_chunk$set(
 
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