update links dmlc

R-package/man/xgb.dump.Rd

@@ -13,9 +13,9 @@ xgb.dump(model = NULL, fname = NULL, fmap = "", with.stats = FALSE)
 
 \item{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.}
 
 \item{with.stats}{whether dump statistics of splits

R-package/man/xgb.train.Rd

@@ -99,7 +99,7 @@ Number of threads can also be manually specified via \code{nthread} parameter.
      \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/man/xgboost.Rd

@@ -31,7 +31,7 @@ Commonly used ones are:
   \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.}