Update lib version dependencies (for DiagrammeR mainly)

Fix @export tag in each R file (for Roxygen 5, otherwise it doesn't work anymore)
Regerate Roxygen doc

R-package/R/getinfo.xgb.DMatrix.R

@@ -23,7 +23,6 @@ setClass('xgb.DMatrix')
 #' stopifnot(all(labels2 == 1-labels))
 #' @rdname getinfo
 #' @export
-#' 
 getinfo <- function(object, ...){
     UseMethod("getinfo")
 }

R-package/R/predict.xgb.Booster.R

@@ -29,7 +29,6 @@ setClass("xgb.Booster",
 #'                eta = 1, nthread = 2, nround = 2,objective = "binary:logistic")
 #' pred <- predict(bst, test$data)
 #' @export
-#' 
 setMethod("predict", signature = "xgb.Booster",
           definition = function(object, newdata, missing = NA,
                                 outputmargin = FALSE, ntreelimit = NULL, predleaf = FALSE) {

R-package/R/setinfo.xgb.DMatrix.R

@@ -21,7 +21,6 @@
 #' stopifnot(all(labels2 == 1-labels))
 #' @rdname setinfo
 #' @export
-#' 
 setinfo <- function(object, ...){
   UseMethod("setinfo")
 }

R-package/R/slice.xgb.DMatrix.R

@@ -13,7 +13,6 @@ setClass('xgb.DMatrix')
 #' dsub <- slice(dtrain, 1:3)
 #' @rdname slice
 #' @export
-#' 
 slice <- function(object, ...){
     UseMethod("slice")
 }

R-package/R/xgb.DMatrix.R

@@ -17,7 +17,6 @@
 #' xgb.DMatrix.save(dtrain, 'xgb.DMatrix.data')
 #' dtrain <- xgb.DMatrix('xgb.DMatrix.data')
 #' @export
-#' 
 xgb.DMatrix <- function(data, info = list(), missing = NA, ...) {
   if (typeof(data) == "character") {
     handle <- .Call("XGDMatrixCreateFromFile_R", data, as.integer(FALSE),

R-package/R/xgb.DMatrix.save.R

@@ -12,7 +12,6 @@
 #' xgb.DMatrix.save(dtrain, 'xgb.DMatrix.data')
 #' dtrain <- xgb.DMatrix('xgb.DMatrix.data')
 #' @export
-#' 
 xgb.DMatrix.save <- function(DMatrix, fname) {
   if (typeof(fname) != "character") {
     stop("xgb.save: fname must be character")

R-package/R/xgb.cv.R

@@ -90,7 +90,6 @@
 #'                   max.depth =3, eta = 1, objective = "binary:logistic")
 #' print(history)
 #' @export
-#'
 xgb.cv <- function(params=list(), data, nrounds, nfold, label = NULL, missing = NA,
                    prediction = FALSE, showsd = TRUE, metrics=list(),
                    obj = NULL, feval = NULL, stratified = TRUE, folds = NULL, verbose = T, print.every.n=1L,

R-package/R/xgb.dump.R

@@ -36,7 +36,6 @@
 #' # print the model without saving it to a file
 #' print(xgb.dump(bst))
 #' @export
-#' 
 xgb.dump <- function(model = NULL, fname = NULL, fmap = "", with.stats=FALSE) {
   if (class(model) != "xgb.Booster") {
     stop("model: argument must be type xgb.Booster")

R-package/R/xgb.load.R

@@ -15,7 +15,6 @@
 #' bst <- xgb.load('xgb.model')
 #' pred <- predict(bst, test$data)
 #' @export
-#' 
 xgb.load <- function(modelfile) {
   if (is.null(modelfile))
     stop("xgb.load: modelfile cannot be NULL")

R-package/R/xgb.save.R

@@ -16,7 +16,6 @@
 #' bst <- xgb.load('xgb.model')
 #' pred <- predict(bst, test$data)
 #' @export
-#' 
 xgb.save <- function(model, fname) {
   if (typeof(fname) != "character") {
     stop("xgb.save: fname must be character")

R-package/R/xgb.save.raw.R

@@ -16,7 +16,6 @@
 #' bst <- xgb.load(raw)
 #' pred <- predict(bst, test$data)
 #' @export
-#' 
 xgb.save.raw <- function(model) {
   if (class(model) == "xgb.Booster"){
     model <- model$handle

R-package/R/xgb.train.R

@@ -120,7 +120,6 @@
 #' param <- list(max.depth = 2, eta = 1, silent = 1, objective=logregobj,eval_metric=evalerror)
 #' bst <- xgb.train(param, dtrain, nthread = 2, nround = 2, watchlist)
 #' @export
-#' 
 xgb.train <- function(params=list(), data, nrounds, watchlist = list(),
                       obj = NULL, feval = NULL, verbose = 1, print.every.n=1L,
                       early.stop.round = NULL, maximize = NULL,

R-package/R/xgboost.R

@@ -58,7 +58,6 @@
 #' pred <- predict(bst, test$data)
 #' 
 #' @export
-#' 
 xgboost <- function(data = NULL, label = NULL, missing = NA, weight = NULL,
                     params = list(), nrounds,
                     verbose = 1, print.every.n = 1L, early.stop.round = NULL,