updated the R-package files

R-package/DESCRIPTION

@@ -2,8 +2,8 @@ Package: RGF
 Type: Package
 Title: Regularized Greedy Forest
 Version: 1.0.5
-Date: 2018-08-09
-Authors@R: c( person("Lampros", "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre")), person("Ryosuke", "Fukatani", role = "cph", comment = "Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm"), person("Tong", "Zhang", role = "cph", comment = "Author of the 'Regularized Greedy Forest' and of the Multi-core implementation of Regularized Greedy Forest machine learning algorithm"), person("Rie", "Johnson", role = "cph", comment = "Author of the 'Regularized Greedy Forest' machine learning algorithm") )
+Date: 2018-08-14
+Authors@R: c( person("Lampros", "Mouselimis", email = "mouselimislampros@gmail.com", role = c("aut", "cre")), person("Ryosuke", "Fukatani", role = "cph", comment = "Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm"), person("Nikita", "Titov", role = "cph", comment = "Author of the python wrapper of the 'Regularized Greedy Forest' machine learning algorithm"), person("Tong", "Zhang", role = "cph", comment = "Author of the 'Regularized Greedy Forest' and of the Multi-core implementation of Regularized Greedy Forest machine learning algorithm"), person("Rie", "Johnson", role = "cph", comment = "Author of the 'Regularized Greedy Forest' machine learning algorithm") )
 Maintainer: Lampros Mouselimis <mouselimislampros@gmail.com>
 BugReports: https://github.com/RGF-team/rgf/issues
 URL: https://github.com/RGF-team/rgf/tree/master/R-package

R-package/NEWS.md

@@ -7,7 +7,7 @@ The RGF R package was integrated in the home repository for the Regularized Gree
 
 * We modified the license from GPL-3 to MIT to go in accordance with the new structure of the *rgf_python* package. The package includes two files : *LICENSE* (for the RGF R package) and *LICENSE.note* (for the *RGF*, *FastRGF* and *rgf_python* packages).
 * We added the following new features of RGF estimators : *feature_importances_* and *dump_model()*
-* We modified the README.md file and especially the installation instructions for all operating systems (Linux, Macintosh, Windows)
+* We modified the README.md file and especially the installation instructions for all operating systems (Linux, Mac OS X, Windows)
 * We created an R6 class (*Internal_class*) for all secondary functions which are used in RGF and FastRGF
 
 
@@ -20,7 +20,7 @@ The RGF R package was integrated in the home repository for the Regularized Gree
 
 ## RGF 1.0.2
 
-We commented the example(s) and test(s) related to the *dgCMatrix_2scipy_sparse* function [ *if (Sys.info()["sysname"] != 'Darwin')* ], because the *scipy-sparse* library on CRAN is not upgraded and the older version includes a bug (*TypeError : could not interpret data type*). This leads to an error on *Macintosh* ( *reference* : https://github.com/scipy/scipy/issues/5353 ).
+We commented the example(s) and test(s) related to the *dgCMatrix_2scipy_sparse* function [ *if (Sys.info()["sysname"] != 'Darwin')* ], because the *scipy-sparse* library on CRAN is not upgraded and the older version includes a bug (*TypeError : could not interpret data type*). This leads to an error on *Mac OS X* ( *reference* : https://github.com/scipy/scipy/issues/5353 ).
 
 
 ## RGF 1.0.1
@@ -30,4 +30,4 @@ We added links to the GitHub repository (master repository, issues).
 
 ## RGF 1.0.0
 
-Initial version.
+Initial version.

R-package/R/zzz.R

@@ -1,6 +1,6 @@
 # temporary startup message beginning from version 1.0.3 [ SEE : http://r-pkgs.had.co.nz/r.html#r-differences ]
 
 .onAttach <- function(libname, pkgname) {
-  
-  packageStartupMessage("Begninning from version 1.0.3 the 'dgCMatrix_2scipy_sparse' function was renamed to 'TO_scipy_sparse' and now accepts either a 'dgCMatrix' or a 'dgRMatrix' as input. The appropriate format for the 'RGF' package in case of sparse matrices is the 'dgCMatrix' format (scipy.sparse.csc_matrix)")
+
+  packageStartupMessage("Beginning from version 1.0.3 the 'dgCMatrix_2scipy_sparse' function was renamed to 'TO_scipy_sparse' and now accepts either a 'dgCMatrix' or a 'dgRMatrix' as input. The appropriate format for the 'RGF' package in case of sparse matrices is the 'dgCMatrix' format (scipy.sparse.csc_matrix)")
 }

R-package/README.md

@@ -85,7 +85,7 @@ sudo python setup.py install
 
 
 
-#### **Macintosh OSX**            [ installed / tested on Python >= 3.4 ]
+#### **Mac OS X**            [ installed / tested on Python >= 3.4 ]
 
 <br>