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fuzzyforest
View on CRAN: Click
here
Download and install fuzzyforest package within the R console
Install from CRAN:
install.packages("fuzzyforest")
Install from Github:
library("remotes")
install_github("cran/fuzzyforest")
Install by package version:
library("remotes")
install_version("fuzzyforest", "1.0.8")
Attach the package and use:
library("fuzzyforest")
Maintained by
Daniel Conn
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.fuzzyforest . fuzzyforest citation info . fuzzyforest results . fuzzyforest.pdf . fuzzyforest_1.0.8.tar.gz . fuzzyforest_1.0.8.zip . fuzzyforest_1.0.8.zip . fuzzyforest_1.0.8.zip . fuzzyforest_1.0.8.tgz . fuzzyforest_1.0.8.tgz . fuzzyforest_1.0.8.tgz . fuzzyforest_1.0.8.tgz . fuzzyforest_1.0.8.tgz . fuzzyforest_1.0.8.tgz . fuzzyforest archive . https://CRAN.R-project.org/package=fuzzyforest .
First Published: 2016-02-18
Latest Update: 2020-03-25
Description:
Fuzzy forests, a new algorithm based on random forests,
is designed to reduce the bias seen in random forest feature selection
caused by the presence of correlated features. Fuzzy forests uses
recursive feature elimination random forests to select
features from separate blocks of correlated features where the
correlation within each block of features is high
and the correlation between blocks of features is low.
One final random forest is fit using the surviving features.
This package fits random forests using the 'randomForest' package and
allows for easy use of 'WGCNA' to split features into distinct blocks.
See D. Conn, Ngun, T., C. Ramirez, and G. Li (2019)
for further details.
How to cite:
Daniel Conn (2016). fuzzyforest: Fuzzy Forests. R package version 1.0.8, https://cran.r-project.org/web/packages/fuzzyforest. Accessed 04 Apr. 2025.
Previous versions and publish date:
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Other R packages that fuzzyforest depends,
imports, suggests or enhances
Complete documentation for fuzzyforest
Functions, R codes and Examples using
the fuzzyforest R package
Some associated functions: Liver_Expr . WGCNA_control . ctg . example_ff . ff.formula . ff . fuzzy_forest . fuzzyforest . iterative_RF . modplot . multi_class_lr . predict.fuzzy_forest . print.fuzzy_forest . screen_control . select_RF . select_control . wff.formula . wff .
Some associated R codes: ff.R . ff_sims.R . fuzzy_forest_obj.R . fuzzyforest.R . onAttach.R . select_RF.R . tuning_parameters.R . wff.R . Full fuzzyforest package functions and examples
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