From b241cf678ae8365ae68229ac2b5ffe3fe38eb9f7 Mon Sep 17 00:00:00 2001
From: Andersen
 <andersla@inter-standard-st-cpr-interactive-st-2.workbenchhpc287f330d20231215011949.pcluster>
Date: Wed, 20 Dec 2023 14:37:31 +0100
Subject: [PATCH] added optional param for predict.modelFits func

---
 R/s3methods.R            | 1 +
 man/predict.modelFits.Rd | 2 ++
 2 files changed, 3 insertions(+)

diff --git a/R/s3methods.R b/R/s3methods.R
index 6fd93ce..a507df9 100644
--- a/R/s3methods.R
+++ b/R/s3methods.R
@@ -85,6 +85,7 @@ print.BayesianMCP <- function (
 #' model coefficients
 #' @param doses a vector specifying the doses for which a prediction should be
 #' done getContrMat object, contrast matrix to be used for the testing step.
+#' @param ... other parameters
 #' @examples
 #' # example code
 #' posterior_list <- list(Ctrl = RBesT::mixnorm(comp1 = c(w = 1, m = 0, s = 1), sigma = 2),
diff --git a/man/predict.modelFits.Rd b/man/predict.modelFits.Rd
index 7fecd10..7563063 100644
--- a/man/predict.modelFits.Rd
+++ b/man/predict.modelFits.Rd
@@ -12,6 +12,8 @@ model coefficients}
 
 \item{doses}{a vector specifying the doses for which a prediction should be
 done getContrMat object, contrast matrix to be used for the testing step.}
+
+\item{...}{other parameters}
 }
 \value{
 a list with the model predictions for the specified models and doses