Addressed CRAN feedback

src/interface_r/DESCRIPTION

@@ -1,6 +1,6 @@
 Package: h2o4gpu
 Type: Package
-Title: R Interface to 'H2O4GPU'
+Title: Interface to 'H2O4GPU'
 Version: 0.2.0
 Authors@R: c(
   person("Yuan", "Tang", role = c("aut", "cre"),
@@ -9,12 +9,12 @@ Authors@R: c(
   person("Navdeep", "Gill", role = c("aut"), email = "[email protected]"),
   person("Erin", "LeDell", role = c("aut"), email = "[email protected]"),
   person("H2O.ai", role = c("cph", "fnd")))
-Description: R Interface to 'H2O4GPU' - A collection of 'GPU' solvers for machine learning algorithms.
+Description: Interface to 'H2O4GPU' <https://github.com/h2oai/h2o4gpu>, a collection of 'GPU' solvers for machine learning algorithms.
 License: Apache License 2.0
 URL: https://github.com/h2oai/h2o4gpu
 BugReports: https://github.com/h2oai/h2o4gpu/issues
 SystemRequirements: Python (>= 3.6) with header files and shared library;
-    h2o4gpu (https://github.com/h2oai/h2o4gpu)
+    H2O4GPU (https://github.com/h2oai/h2o4gpu)
 Encoding: UTF-8
 LazyData: true
 Depends:

src/interface_r/R/package.R

@@ -2,6 +2,23 @@
 #' 
 #' @docType package
 #' @name h2o4gpu
+#' 
+#' @examples 
+#' \dontrun{
+#' 
+#' library(h2o4gpu)
+#' 
+#' # Setup dataset
+#' x <- iris[1:4]
+#' y <- as.integer(iris$Species) - 1
+#' 
+#' # Initialize and train the classifier
+#' model <- h2o4gpu.random_forest_classifier() %>% fit(x, y)
+#' 
+#' # Make predictions
+#' predictions <- model %>% predict(x)
+#' 
+#' }
 NULL
 
 h2o4gpu <- NULL