diff --git a/.ci/r_tests.sh b/.ci/r_tests.sh
index cd547545..33902226 100755
--- a/.ci/r_tests.sh
+++ b/.ci/r_tests.sh
@@ -13,7 +13,10 @@ if [[ $OS_NAME == "macos-latest" ]]; then
   echo 'options(pkgType = "mac.binary")' > .Rprofile
   echo 'options(install.packages.check.source = "no")' >> .Rprofile
 else
-  tlmgr --verify-repo=none --self --all update
+  tlmgr --verify-repo=none update --self
+  tlmgr --verify-repo=none install ec
+
+  echo "Sys.setenv(RETICULATE_PYTHON = '$CONDA_PREFIX/bin/python')" >> .Rprofile
 fi
 
 R_LIB_PATH=$HOME/R
diff --git a/R-package/DESCRIPTION b/R-package/DESCRIPTION
index 2da7012c..764a89a4 100644
--- a/R-package/DESCRIPTION
+++ b/R-package/DESCRIPTION
@@ -21,5 +21,5 @@ Suggests:
     rmarkdown
 Encoding: UTF-8
 LazyData: true
-RoxygenNote: 7.1.1
+RoxygenNote: 7.0.2
 VignetteBuilder: knitr
diff --git a/R-package/R/FastRGF_Classifier.R b/R-package/R/FastRGF_Classifier.R
index 97f969ed..ea4d375d 100644
--- a/R-package/R/FastRGF_Classifier.R
+++ b/R-package/R/FastRGF_Classifier.R
@@ -51,7 +51,7 @@
 #'                                     min_child_weight = 5.0, data_l2 = 2.0,
 #'                                     sparse_max_features = 80000,
 #'                                     sparse_min_occurences = 5,
-#'                                     calc_prob="sigmoid", n_jobs = 1,
+#'                                     calc_prob = "sigmoid", n_jobs = 1,
 #'                                     verbose = 0)}}{}
 #'
 #'  \item{\code{--------------}}{}
@@ -89,7 +89,7 @@
 #' #                                      min_child_weight = 5.0, data_l2 = 2.0,
 #' #                                      sparse_max_features = 80000,
 #' #                                      sparse_min_occurences = 5,
-#' #                                      calc_prob="sigmoid", n_jobs = 1,
+#' #                                      calc_prob = "sigmoid", n_jobs = 1,
 #' #                                      verbose = 0)
 #' @examples
 #'
@@ -111,7 +111,7 @@
 #'             preds = fast_RGF_class$predict_proba(x)
 #'         }
 #'     }
-#' }, silent=TRUE)
+#' }, silent = TRUE)
 
 FastRGF_Classifier <- R6::R6Class(
     "FastRGF_Classifier",
diff --git a/R-package/R/FastRGF_Regressor.R b/R-package/R/FastRGF_Regressor.R
index 13ad64a9..c72a0182 100644
--- a/R-package/R/FastRGF_Regressor.R
+++ b/R-package/R/FastRGF_Regressor.R
@@ -101,7 +101,7 @@
 #'             preds = fast_RGF_regr$predict(x)
 #'         }
 #'     }
-#' }, silent=TRUE)
+#' }, silent = TRUE)
 
 FastRGF_Regressor <- R6::R6Class(
     "FastRGF_Regressor",
diff --git a/R-package/R/RGF_Classifier.R b/R-package/R/RGF_Classifier.R
index 88b784df..abc28789 100644
--- a/R-package/R/RGF_Classifier.R
+++ b/R-package/R/RGF_Classifier.R
@@ -127,7 +127,7 @@
 #'             preds = RGF_class$predict_proba(x)
 #'         }
 #'     }
-#' }, silent=TRUE)
+#' }, silent = TRUE)
 
 RGF_Classifier <- R6::R6Class(
     "RGF_Classifier",
diff --git a/R-package/R/RGF_Regressor.R b/R-package/R/RGF_Regressor.R
index c30cca8d..edcaa62e 100644
--- a/R-package/R/RGF_Regressor.R
+++ b/R-package/R/RGF_Regressor.R
@@ -117,7 +117,7 @@
 #'             preds = RGF_regr$predict(x)
 #'         }
 #'     }
-#' }, silent=TRUE)
+#' }, silent = TRUE)
 
 RGF_Regressor <- R6::R6Class(
     "RGF_Regressor",
diff --git a/R-package/R/TO_scipy_sparse.R b/R-package/R/TO_scipy_sparse.R
index d90c19b0..ce055e92 100644
--- a/R-package/R/TO_scipy_sparse.R
+++ b/R-package/R/TO_scipy_sparse.R
@@ -55,7 +55,7 @@
 #'             }
 #'         }
 #'     }
-#' }, silent=TRUE)
+#' }, silent = TRUE)
 
 TO_scipy_sparse = function(R_sparse_matrix) {
 
diff --git a/R-package/R/mat_2scipy_sparse.R b/R-package/R/mat_2scipy_sparse.R
index 15b5e270..afa56437 100644
--- a/R-package/R/mat_2scipy_sparse.R
+++ b/R-package/R/mat_2scipy_sparse.R
@@ -26,7 +26,7 @@
 #'             print(res$shape)
 #'         }
 #'     }
-#' }, silent=TRUE)
+#' }, silent = TRUE)
 
 mat_2scipy_sparse = function(x, format = 'sparse_row_matrix') {
 
diff --git a/R-package/R/package.R b/R-package/R/package.R
index 60624c25..05ed72f8 100644
--- a/R-package/R/package.R
+++ b/R-package/R/package.R
@@ -29,15 +29,15 @@ RGF_mod <- NULL; RGF_utils <- NULL; SCP <- NULL;
 
   try({       # I added the try() functions in version 1.0.7 because I received a similar warning as mentioned in: [ https://github.com/rstudio/reticulate/issues/730#issuecomment-594365528 ] and [ https://github.com/rstudio/reticulate/issues/814 ]
     RGF_mod <<- reticulate::import("rgf.sklearn", delay_load = TRUE)
-  }, silent=TRUE)
+  }, silent = TRUE)
 
   try({
     RGF_utils <<- reticulate::import("rgf.utils", delay_load = TRUE)
-  }, silent=TRUE)
+  }, silent = TRUE)
 
   try({
     SCP <<- reticulate::import("scipy", delay_load = TRUE, convert = FALSE)
-  }, silent=TRUE)
+  }, silent = TRUE)
 
   # #................................................................................. keep this as a reference, however it gives a warning on CRAN because it tries to initialize python
   # try({
@@ -59,6 +59,6 @@ RGF_mod <- NULL; RGF_utils <- NULL; SCP <- NULL;
   #   # else {
   #   #   packageStartupMessage("The 'scipy' package is not available!")
   #   # }
-  # }, silent=TRUE)
+  # }, silent = TRUE)
   # #.................................................................................
 }
diff --git a/R-package/man/FastRGF_Classifier.Rd b/R-package/man/FastRGF_Classifier.Rd
index 1ec2c269..177c6194 100644
--- a/R-package/man/FastRGF_Classifier.Rd
+++ b/R-package/man/FastRGF_Classifier.Rd
@@ -13,7 +13,7 @@
 #                                      min_child_weight = 5.0, data_l2 = 2.0,
 #                                      sparse_max_features = 80000,
 #                                      sparse_min_occurences = 5,
-#                                      calc_prob="sigmoid", n_jobs = 1,
+#                                      calc_prob = "sigmoid", n_jobs = 1,
 #                                      verbose = 0)
 }
 \description{
@@ -46,7 +46,7 @@ the \emph{score} function returns the mean accuracy on the given test data and l
                                     min_child_weight = 5.0, data_l2 = 2.0,
                                     sparse_max_features = 80000,
                                     sparse_min_occurences = 5,
-                                    calc_prob="sigmoid", n_jobs = 1,
+                                    calc_prob = "sigmoid", n_jobs = 1,
                                     verbose = 0)}}{}
 
  \item{\code{--------------}}{}
@@ -97,7 +97,7 @@ try({
             preds = fast_RGF_class$predict_proba(x)
         }
     }
-}, silent=TRUE)
+}, silent = TRUE)
 }
 \references{
 \emph{https://github.com/RGF-team/rgf/tree/master/python-package}, \emph{Tong Zhang, FastRGF: Multi-core Implementation of Regularized Greedy Forest (https://github.com/RGF-team/rgf/tree/master/FastRGF)}
@@ -129,7 +129,6 @@ try({
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-new"></a>}}
-\if{latex}{\out{\hypertarget{method-new}{}}}
 \subsection{Method \code{new()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{FastRGF_Classifier$new(
@@ -198,7 +197,6 @@ try({
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-clone"></a>}}
-\if{latex}{\out{\hypertarget{method-clone}{}}}
 \subsection{Method \code{clone()}}{
 The objects of this class are cloneable with this method.
 \subsection{Usage}{
diff --git a/R-package/man/FastRGF_Regressor.Rd b/R-package/man/FastRGF_Regressor.Rd
index f889e18a..23a35a2c 100644
--- a/R-package/man/FastRGF_Regressor.Rd
+++ b/R-package/man/FastRGF_Regressor.Rd
@@ -89,7 +89,7 @@ try({
             preds = fast_RGF_regr$predict(x)
         }
     }
-}, silent=TRUE)
+}, silent = TRUE)
 }
 \references{
 \emph{https://github.com/RGF-team/rgf/tree/master/python-package}, \emph{Tong Zhang, FastRGF: Multi-core Implementation of Regularized Greedy Forest (https://github.com/RGF-team/rgf/tree/master/FastRGF)}
@@ -121,7 +121,6 @@ try({
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-new"></a>}}
-\if{latex}{\out{\hypertarget{method-new}{}}}
 \subsection{Method \code{new()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{FastRGF_Regressor$new(
@@ -184,7 +183,6 @@ try({
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-clone"></a>}}
-\if{latex}{\out{\hypertarget{method-clone}{}}}
 \subsection{Method \code{clone()}}{
 The objects of this class are cloneable with this method.
 \subsection{Usage}{
diff --git a/R-package/man/Internal_class.Rd b/R-package/man/Internal_class.Rd
index 0b26a3da..c469f219 100644
--- a/R-package/man/Internal_class.Rd
+++ b/R-package/man/Internal_class.Rd
@@ -26,7 +26,6 @@ Internal R6 class for all secondary functions used in RGF and FastRGF
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-fit"></a>}}
-\if{latex}{\out{\hypertarget{method-fit}{}}}
 \subsection{Method \code{fit()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{Internal_class$fit(x, y, sample_weight = NULL)}\if{html}{\out{</div>}}
@@ -35,7 +34,6 @@ Internal R6 class for all secondary functions used in RGF and FastRGF
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-predict"></a>}}
-\if{latex}{\out{\hypertarget{method-predict}{}}}
 \subsection{Method \code{predict()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{Internal_class$predict(x)}\if{html}{\out{</div>}}
@@ -44,7 +42,6 @@ Internal R6 class for all secondary functions used in RGF and FastRGF
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-predict_proba"></a>}}
-\if{latex}{\out{\hypertarget{method-predict_proba}{}}}
 \subsection{Method \code{predict_proba()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{Internal_class$predict_proba(x)}\if{html}{\out{</div>}}
@@ -53,7 +50,6 @@ Internal R6 class for all secondary functions used in RGF and FastRGF
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-cleanup"></a>}}
-\if{latex}{\out{\hypertarget{method-cleanup}{}}}
 \subsection{Method \code{cleanup()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{Internal_class$cleanup()}\if{html}{\out{</div>}}
@@ -62,7 +58,6 @@ Internal R6 class for all secondary functions used in RGF and FastRGF
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-get_params"></a>}}
-\if{latex}{\out{\hypertarget{method-get_params}{}}}
 \subsection{Method \code{get_params()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{Internal_class$get_params(deep = TRUE)}\if{html}{\out{</div>}}
@@ -71,7 +66,6 @@ Internal R6 class for all secondary functions used in RGF and FastRGF
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-score"></a>}}
-\if{latex}{\out{\hypertarget{method-score}{}}}
 \subsection{Method \code{score()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{Internal_class$score(x, y, sample_weight = NULL)}\if{html}{\out{</div>}}
@@ -80,7 +74,6 @@ Internal R6 class for all secondary functions used in RGF and FastRGF
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-feature_importances"></a>}}
-\if{latex}{\out{\hypertarget{method-feature_importances}{}}}
 \subsection{Method \code{feature_importances()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{Internal_class$feature_importances()}\if{html}{\out{</div>}}
@@ -89,7 +82,6 @@ Internal R6 class for all secondary functions used in RGF and FastRGF
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-dump_model"></a>}}
-\if{latex}{\out{\hypertarget{method-dump_model}{}}}
 \subsection{Method \code{dump_model()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{Internal_class$dump_model()}\if{html}{\out{</div>}}
@@ -98,7 +90,6 @@ Internal R6 class for all secondary functions used in RGF and FastRGF
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-save_model"></a>}}
-\if{latex}{\out{\hypertarget{method-save_model}{}}}
 \subsection{Method \code{save_model()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{Internal_class$save_model(filename)}\if{html}{\out{</div>}}
@@ -107,7 +98,6 @@ Internal R6 class for all secondary functions used in RGF and FastRGF
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-clone"></a>}}
-\if{latex}{\out{\hypertarget{method-clone}{}}}
 \subsection{Method \code{clone()}}{
 The objects of this class are cloneable with this method.
 \subsection{Usage}{
diff --git a/R-package/man/RGF_Classifier.Rd b/R-package/man/RGF_Classifier.Rd
index cb20c4d3..17ee2ac9 100644
--- a/R-package/man/RGF_Classifier.Rd
+++ b/R-package/man/RGF_Classifier.Rd
@@ -111,7 +111,7 @@ try({
             preds = RGF_class$predict_proba(x)
         }
     }
-}, silent=TRUE)
+}, silent = TRUE)
 }
 \references{
 \emph{https://github.com/RGF-team/rgf/tree/master/python-package}, \emph{Rie Johnson and Tong Zhang, Learning Nonlinear Functions Using Regularized Greedy Forest}
@@ -143,7 +143,6 @@ try({
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-new"></a>}}
-\if{latex}{\out{\hypertarget{method-new}{}}}
 \subsection{Method \code{new()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{RGF_Classifier$new(
@@ -212,7 +211,6 @@ try({
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-clone"></a>}}
-\if{latex}{\out{\hypertarget{method-clone}{}}}
 \subsection{Method \code{clone()}}{
 The objects of this class are cloneable with this method.
 \subsection{Usage}{
diff --git a/R-package/man/RGF_Regressor.Rd b/R-package/man/RGF_Regressor.Rd
index 8a507a35..b4eb7e0f 100644
--- a/R-package/man/RGF_Regressor.Rd
+++ b/R-package/man/RGF_Regressor.Rd
@@ -103,7 +103,7 @@ try({
             preds = RGF_regr$predict(x)
         }
     }
-}, silent=TRUE)
+}, silent = TRUE)
 }
 \references{
 \emph{https://github.com/RGF-team/rgf/tree/master/python-package}, \emph{Rie Johnson and Tong Zhang, Learning Nonlinear Functions Using Regularized Greedy Forest}
@@ -135,7 +135,6 @@ try({
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-new"></a>}}
-\if{latex}{\out{\hypertarget{method-new}{}}}
 \subsection{Method \code{new()}}{
 \subsection{Usage}{
 \if{html}{\out{<div class="r">}}\preformatted{RGF_Regressor$new(
@@ -198,7 +197,6 @@ try({
 }
 \if{html}{\out{<hr>}}
 \if{html}{\out{<a id="method-clone"></a>}}
-\if{latex}{\out{\hypertarget{method-clone}{}}}
 \subsection{Method \code{clone()}}{
 The objects of this class are cloneable with this method.
 \subsection{Usage}{
diff --git a/R-package/man/TO_scipy_sparse.Rd b/R-package/man/TO_scipy_sparse.Rd
index 74249309..ff68b5d5 100644
--- a/R-package/man/TO_scipy_sparse.Rd
+++ b/R-package/man/TO_scipy_sparse.Rd
@@ -61,7 +61,7 @@ try({
             }
         }
     }
-}, silent=TRUE)
+}, silent = TRUE)
 }
 \references{
 https://stat.ethz.ch/R-manual/R-devel/library/Matrix/html/dgCMatrix-class.html, https://stat.ethz.ch/R-manual/R-devel/library/Matrix/html/dgRMatrix-class.html, https://docs.scipy.org/doc/scipy/reference/generated/scipy.sparse.csc_matrix.html#scipy.sparse.csc_matrix
diff --git a/R-package/man/mat_2scipy_sparse.Rd b/R-package/man/mat_2scipy_sparse.Rd
index d1e76f70..a5f9b290 100644
--- a/R-package/man/mat_2scipy_sparse.Rd
+++ b/R-package/man/mat_2scipy_sparse.Rd
@@ -36,7 +36,7 @@ try({
             print(res$shape)
         }
     }
-}, silent=TRUE)
+}, silent = TRUE)
 }
 \references{
 https://docs.scipy.org/doc/scipy/reference/sparse.html
diff --git a/R-package/tests/testthat/setup.R b/R-package/tests/testthat/setup.R
index 25d9c7e7..04794efc 100644
--- a/R-package/tests/testthat/setup.R
+++ b/R-package/tests/testthat/setup.R
@@ -26,14 +26,14 @@ y_reg = runif(100)
 #---------------------------------
 
 set.seed(4)
-y_BINclass = sample(1:2, 100, replace = T)
+y_BINclass = sample(1:2, 100, replace = TRUE)
 
 
 # response "multiclass" classification
 #-------------------------------------
 
 set.seed(5)
-y_MULTIclass = sample(1:5, 100, replace = T)
+y_MULTIclass = sample(1:5, 100, replace = TRUE)
 
 
 # weights for the fit function