Other packages > Find by keyword >

fuzzyforest  

Fuzzy Forests
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]
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 01 May. 2025.
Previous versions and publish date:
1.0.0 (2016-02-18 18:46), 1.0.1 (2016-03-10 00:28), 1.0.2 (2016-06-16 05:28), 1.0.3 (2017-06-11 22:05), 1.0.4 (2017-11-12 23:11), 1.0.5 (2018-02-03 05:16), 1.0.6 (2019-10-27 00:40), 1.0.7 (2020-02-05 16:40)
Other packages that cited fuzzyforest R package
View fuzzyforest citation profile
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
Downloads during the last 30 days
04/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/30Downloads for fuzzyforest024681012141618202224TrendBars

Today's Hot Picks in Authors and Packages

geofabrik  
Downloading Open Street Map Data
Download OpenStreetMap data from geofabrik servers httpsdownload.geofabrik.de. This approach usesonl ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
fbar  
An Extensible Approach to Flux Balance Analysis
A toolkit for Flux Balance Analysis and related metabolic modeling techniques. Functions are provid ...
Download / Learn more Package Citations See dependency  
dsm  
Density Surface Modelling of Distance Sampling Data
Density surface modelling of line transect data. A Generalized Additive Model-based approach is use ...
Download / Learn more Package Citations See dependency  
representr  
Create Representative Records After Entity Resolution
An implementation of Kaplan, Betancourt, Steorts (2022) that cre ...
Download / Learn more Package Citations See dependency  
pander  
An R 'Pandoc' Writer
Contains some functions catching all messages, 'stdout' and other useful information while evaluati ...
Download / Learn more Package Citations See dependency  

24,142

R Packages

207,311

Dependencies

65,176

Author Associations

24,143

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA