diff --git a/DESCRIPTION b/DESCRIPTION
index f66a29b..8baec69 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,33 +1,34 @@
 Package: challengeR
 Type: Package
 Title: Analyzing assessment data of biomedical image analysis competitions and visualization of results
 Version: 0.3.3
 Date: 2020-04-18
 Author: Manuel Wiesenfarth, Annette Kopp-Schneider
 Maintainer: Manuel Wiesenfarth <m.wiesenfarth@dkfz.de>
 Description: Analyzing assessment data of biomedical image analysis competitions and visualization of results.
 License: GPL-3
 Depends:
   R (>= 3.5.2),
   ggplot2 (>= 3.3.0),
   purrr (>= 0.3.3)
 Imports:
   dplyr (>= 0.8.5),
   graph (>= 1.64.0),
   knitr (>= 1.28),
   methods (>= 3.6.0),
   plyr (>= 1.8.6),
   relations (>= 0.6-9),
   reshape2 (>= 1.4.3),
   rlang (>= 0.4.5),
   rmarkdown (>= 2.1),
   tidyr (>= 1.0.2),
   viridisLite (>= 0.3.0)
 Suggests:
   doParallel (>= 1.0.15),
   foreach (>= 1.4.8),
   ggpubr (>= 0.2.5),
   Rgraphviz (>= 2.30.0),
   testthat (>= 2.1.0)
 VignetteBuilder: knitr
+Roxygen: list(markdown = TRUE)
 RoxygenNote: 7.1.0
diff --git a/R/wrapper.R b/R/wrapper.R
index bef8971..328a09e 100644
--- a/R/wrapper.R
+++ b/R/wrapper.R
@@ -1,84 +1,84 @@
 #' Performs ranking via aggregate-then-rank
 #'
 #' Performs ranking by first aggregating performance values across all cases (e.g., with the mean, median or another quantile) for each algorithm.
 #' This aggregate is then used to compute a rank for each algorithm.
 #'
 #' @param object The challenge object.
 #' @param FUN The aggregation function, e.g. mean, median, min, max, function(x), quantile(x, probs=0.05).
-#' @param ties.method A string specifying how ties are treated, see \code{\link{base::rank}}.
+#' @param ties.method A string specifying how ties are treated, see [base::rank()].
 #' @param ... Further arguments passed to or from other functions.
 #'
 #' @return An S3 object of class "ranked.list" to represent a ranked assessment data set.
 #'
 #' @examples
 #'
 #' \dontrun{
 #'  aggregateThenRank(challenge, FUN = mean, ties.method = "average", na.treat = 0)
 #' }
 #'
 #' @family ranking functions
 #' @export
 aggregateThenRank=function(object,FUN,ties.method = "min",...){
   object %>%
     aggregate(FUN=FUN,...) %>%
     rank(ties.method = ties.method)
 }
 
 #' Performs ranking via test-then-rank
 #'
 #' Computes statistical hypothesis tests based on Wilcoxon signed rank test for each possible
 #' pair of algorithms to assess differences in metric values between the algorithms.
 #' Then ranking is performed according to the number of significant one-sided test results.
 #' If algorithms have the same number of significant test results, then they obtain the same rank.
 #'
 #' @param object The challenge object.
-#' @param ties.method A string specifying how ties are treated, see \code{\link{base::rank}}.
+#' @param ties.method A string specifying how ties are treated, see [base::rank()].
 #' @param ... Further arguments passed to or from other functions.
 #'
 #' @return An S3 object of class "ranked.list" to represent a ranked assessment data set.
 #'
 #' @examples
 #' \dontrun{
 #'  testThenRank(challenge,
 #'               alpha=0.05, # significance level
 #'               p.adjust.method="none", # method for adjustment for multiple testing, see ?p.adjust
 #'               na.treat = 0)
 #' }
 #'
 #' @family ranking functions
 #' @export
 testThenRank=function(object, ties.method = "min",...){
   object %>%
     aggregate(FUN="significance",...) %>%
     rank(ties.method = ties.method)
 }
 
 #' Performs ranking via rank-then-aggregate
 #'
-#' Performs ranking by first computing a rank for each case for each algorithm (”rank first”).
+#' Performs ranking by first computing a rank for each case for each algorithm ("rank first").
 #' The final rank is based on the aggregated ranks for the cases. This ranking method handles missing values implicitly
 #' by assigning the worst rank to missing algorithm performances.
 #'
 #'
 #' @param object The challenge object.
 #' @param FUN The aggregation function, e.g., mean, median, min, max, function(x), quantile(x, probs=0.05).
-#' @param ties.method A string specifying how ties are treated, see \code{\link{base::rank}}.
+#' @param ties.method A string specifying how ties are treated, see [base::rank()].
 #'
 #' @return An S3 object of class "ranked.list" to represent a ranked assessment data set.
 #'
 #' @examples
 #' \dontrun{
 #'  rankThenAggregate(challenge, FUN = mean)
 #' }
 #'
 #' @family ranking functions
 #' @export
 rankThenAggregate=function(object,
                            FUN,
                            ties.method = "min"
                            ){
   object %>%
         rank(ties.method = ties.method)%>%
           aggregate(FUN=FUN) %>%
           rank(ties.method = ties.method) # small rank is always best, i.e. smallBetter always TRUE
 }