Joel Therrien
fdc708dad5
Add support for making predictions without specifying training data Add support for adding trees to an existing forest Add support for toggling displayProgress Also reduced the size of the package by removing some unused dependency classes.
19 lines
699 B
Text
19 lines
699 B
Text
Package: largeRCRF
|
|
Type: Package
|
|
Title: Large Random Competing Risk Forests, Java Implementation Run in R
|
|
Version: 0.0.0.9038
|
|
Authors@R: person("Joel", "Therrien", email = "joel@joeltherrien.ca", role = c("aut", "cre"))
|
|
Description: This package is used for training competing risk random forests on larger scale datasets.
|
|
It currently only supports training models, running predictions, plotting those predictions (they are curves),
|
|
and some simple error analysis using concordance measures.
|
|
License: GPL-3
|
|
Encoding: UTF-8
|
|
LazyData: true
|
|
Imports:
|
|
rJava (>= 0.9-9)
|
|
Suggests:
|
|
parallel,
|
|
testthat
|
|
Depends: R (>= 3.4.2)
|
|
SystemRequirements: Java JDK 1.8 or higher
|
|
RoxygenNote: 6.1.1
|