fixing Note about itemize -> describe

R/cluster_est_binder.R

@@ -10,7 +10,7 @@
 #'partition from \code{c} used to break ties when minimizing the cost function
 #'
 #'@return a \code{list}:
-#'  \itemize{
+#'  \describe{
 #'      \item{\code{c_est}:}{ a vector of length \code{n}. Point estimate of the partition}
 #'      \item{\code{cost}:}{ a vector of length \code{N}. \code{cost[j]} is the cost
 #'      associated to partition \code{c[[j]]}}

R/summary.DPMMclust.R

@@ -21,13 +21,14 @@
 #'@param ... further arguments passed to or from other methods
 #'
 #'@return a \code{list} containing the following elements:
+#'\describe{
 #'\item{\code{nb_mcmcit}:}{ an integer giving the value of \code{m}, the number of retained 
 #'sampled partitions, i.e. \code{(N - burnin)/thin}}
 #'\item{\code{burnin}:}{ an integer passing along the \code{burnin} argument}
 #'\item{\code{thin}:}{ an integer passing along the \code{thin} argument}
 #'\item{\code{lossFn}:}{ a character string passing along the \code{lossFn} argument}
 #'\item{\code{clust_distrib}:}{ a character string passing along the \code{clust_distrib} argument }
-#'\item{\code{point_estim}:}{ a \code{list} containing: \itemize{
+#'\item{\code{point_estim}:}{ a \code{list} containing: \describe{
 #'    \item{\code{c_est}:}{ a vector of length \code{n}containing the point estimated clustering for each observations}
 #'    \item{\code{cost}:}{ a vector of length \code{m} containing the cost of each sampled partition}
 #'    \item{\code{Fmeas}:}{ if \code{lossFn} is \code{'F-measure'}, the \code{m x m} matrix of total F-measures for each pair of sampled partitions}
@@ -43,7 +44,8 @@
 #'\item{\code{logposterior_list}:}{ a list of length \code{m} containing the logposterior and its decomposition, for each sampled partition}
 #'\item{\code{U_SS_list}:}{ a list of length \code{m} containing the containing the lists of sufficient statistics for all the mixture components,
 #'for each sampled partition}
-#'\item{\code{data}:}{ a \code{d x n} matrix containing the clustered data} 
+#'\item{\code{data}:}{ a \code{d x n} matrix containing the clustered data}
+#'} 
 #'  
 #'
 #'@details The cost of a point estimate partition is calculated using either a pairwise