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forestRK
View on CRAN: Click
here
Download and install forestRK package within the R console
Install from CRAN:
install.packages("forestRK")
Install from Github:
library("remotes")
install_github("cran/forestRK")
Install by package version:
library("remotes")
install_version("forestRK", "0.0-5")
Attach the package and use:
library("forestRK")
Maintained by
Hyunjin Cho
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-19
Latest Update: 2019-07-19
Description:
Provides functions that calculates common types of splitting
criteria used in random forests for classification problems, as well as
functions that make predictions based on a single tree or a Forest-R.K. model;
the package also provides functions to generate importance plot for a
Forest-R.K. model, as well as the 2D multidimensional-scaling plot of
data points that are colour coded by their predicted class types by the
Forest-R.K. model. This package is based on:
Bernard, S., Heutte, L., Adam, S., (2008, ISBN:978-3-540-85983-3)
"Forest-R.K.: A New Random Forest Induction Method",
Fourth International Conference on Intelligent Computing,
September 2008, Shanghai, China, pp.430-437.
How to cite:
Hyunjin Cho (2019). forestRK: Implements the Forest-R.K. Algorithm for Classification Problems. R package version 0.0-5, https://cran.r-project.org/web/packages/forestRK. Accessed 18 Feb. 2025.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for forestRK
Functions, R codes and Examples using
the forestRK R package
Some associated functions: bstrap . construct.treeRK . criteria.after.split.calculator . criteria.calculator . cutoff.node.and.covariate.index.finder . draw.treeRK . ends.index.finder . forestRK . get.tree.forestRK . importance.forestRK . importance.plot.forestRK . mds.plot.forestRK . pred.forestRK . pred.treeRK . var.used.forestRK . x.organizer . y.organizer .
Some associated R codes: bstrap.R . construct.treeRK.R . criteria.after.split.calculator.R . criteria.calculator.R . cutoff.node.and.covariate.index.finder.R . draw.treeRK.R . ends.index.finder.R . forestRK.R . get.tree.forestRK.R . importance.forestRK.R . importance.plot.forestRK.R . mds.plot.forestRK.R . pred.forestRK.R . pred.treeRK.R . var.used.forestRK.R . x.organizer.R . y.organizer.R . Full forestRK package functions and examples
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