Title: package for roc curve plot with ggplot2
Description: package for roc curve plot with ggplot2

Title: Creating and Plotting Data Objects for Understanding Random
Description: The ggRandomForests package contains tools for creating and
plotting data structures to visually understand random forest models. The
functions are designed for use with the randomForestSRC package. This
package is structured to extract intermediate data objects from the random
forest. S3 Plot functions, which use the ggplot2 package, are included for
Depends: R (>= 3.1.0), ggplot2, randomForestSRC, reshape2, survival,

Imports: ggplot2, randomForestSRC (>= 1.5.5), survival, tidyr, dplyr
Suggests: testthat, RColorBrewer, knitr, xtable

Imports: ggplot2, randomForestSRC (>= 1.5.5), survival, tidyr, dplyr,

Title: Visually Exploring Random Forests
Description: For Random Forests from the randomForestSRC package for survival, regression and
classification forests and using the ggplot2 package for plotting results. ggRandomForests is
structured to extract data objects from the random forest object and provides S3 functions
for printing and plotting these objects.
Imports: randomForestSRC (>= 1.5.5), ggplot2, survival, parallel,
Suggests: testthat, knitr, RColorBrewer, xtable, MASS, plot3D

Description: Graphics for Random Forests using the randomForestSRC package for survival, regression and
classification forests and ggplot2 package plotting.

Description: Graphic elements for exploring Random Forests using the randomForestSRC package for survival, regression and
Suggests: testthat, knitr, RColorBrewer, MASS, dplyr, plot3D

Description: Graphic elements for exploring Random Forests using the
randomForestSRC package for survival, regression and classification forests and
Imports: randomForestSRC (>= 1.5.5), ggplot2, survival, parallel, tidyr

Description: Graphic elements for exploring Random Forests using the 'randomForest' or
'randomForestSRC' package for survival, regression and classification forests and
Imports: randomForestSRC (>= 1.5.5), randomForest, ggplot2, survival,
Suggests: testthat, rmdformats, RColorBrewer, MASS, dplyr, knitr,