update links dmlc

R-package/R/xgb.dump.R

@@ -11,9 +11,9 @@
 #' @param fname the name of the text file where to save the model text dump. If not provided or set to \code{NULL} the function will return the model as a \code{character} vector.
 #' @param fmap feature map file representing the type of feature. 
 #'        Detailed description could be found at 
-#'        \url{https://github.com/tqchen/xgboost/wiki/Binary-Classification#dump-model}.
+#'        \url{https://github.com/dmlc/xgboost/wiki/Binary-Classification#dump-model}.
 #'        See demo/ for walkthrough example in R, and
-#'        \url{https://github.com/tqchen/xgboost/blob/master/demo/data/featmap.txt} 
+#'        \url{https://github.com/dmlc/xgboost/blob/master/demo/data/featmap.txt} 
 #'        for example Format.
 #' @param with.stats whether dump statistics of splits 
 #'        When this option is on, the model dump comes with two additional statistics:

R-package/R/xgb.train.R

@@ -86,7 +86,7 @@
 #'      \item \code{ndcg} Normalized Discounted Cumulative Gain. \url{http://en.wikipedia.org/wiki/NDCG}
 #'   }
 #'   
-#' Full list of parameters is available in the Wiki \url{https://github.com/tqchen/xgboost/wiki/Parameters}.
+#' Full list of parameters is available in the Wiki \url{https://github.com/dmlc/xgboost/wiki/Parameters}.
 #' 
 #' This function only accepts an \code{\link{xgb.DMatrix}} object as the input.
 #' 

R-package/R/xgboost.R

@@ -20,7 +20,7 @@
 #'   \item \code{nthread} number of thread used in training, if not set, all threads are used
 #' }
 #'   
-#'   Look at \code{\link{xgb.train}} for a more complete list of parameters or \url{https://github.com/tqchen/xgboost/wiki/Parameters} for the full list.
+#'   Look at \code{\link{xgb.train}} for a more complete list of parameters or \url{https://github.com/dmlc/xgboost/wiki/Parameters} for the full list.
 #'   
 #'   See also \code{demo/} for walkthrough example in R.
 #'