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R/rep_glm.R

@@ -9,7 +9,8 @@
 #' @param fixed.var flag to set "vars" as fixed in the model. When FALSE, then true bivariate logistic regression is performed.
 #' @keywords logistic
 #' @export
-#'
+#' @examples
+#' rep_glm()
 
 rep_glm<-function(meas,vars=NULL,string,ci=FALSE,data,fixed.var=FALSE){
 
@@ -155,7 +156,3 @@ rep_glm<-function(meas,vars=NULL,string,ci=FALSE,data,fixed.var=FALSE){
   }
   return(r)
 }
-
-
-
-

man/rep_glm.Rd

@@ -23,4 +23,7 @@ rep_glm(meas, vars = NULL, string, ci = FALSE, data,
 \description{
 For bivariate analyses. The confint() function is rather slow, causing the whole function to hang when including many predictors and calculating the ORs with CI.
 }
+\examples{
+rep_glm()
+}
 \keyword{logistic}