X-Git-Url: https://git.nmode.ca/Rnaught/blobdiff_plain/9c1a5668803e735f034700c55028ffc0146f1e93..80624375941bebfd3629f3972555e5a63ba66ec1:/R/WP_known.R?ds=inline

diff --git a/R/WP_known.R b/R/WP_known.R
index 6b0e2ea..4c43ed2 100644
--- a/R/WP_known.R
+++ b/R/WP_known.R
@@ -3,11 +3,12 @@
 #' This is a background/internal function called by \code{WP}. It computes the maximum
 #' likelihood estimator of R0 assuming that the serial distribution is known and finite discrete.
 #'
-#' @param NT vector of case counts
-#' @param p discretized version of the serial distribution
-#' @return The function returns \code{Rhat}, the maximum likelihood estimator of R0.
+#' @param NT Vector of case counts.
+#' @param p Discretized version of the serial distribution.
 #'
-#' @export
+#' @return The function returns the maximum likelihood estimator of R0.
+#'
+#' @keywords internal
 WP_known <- function(NT, p) {
     k <- length(p)
     TT <- length(NT) - 1
@@ -19,5 +20,5 @@ WP_known <- function(NT, p) {
     }
 
     Rhat <- sum(NT[-1]) / sum(mu_t)
-	return(list(Rhat=Rhat))
+	return(Rhat)
 }