Other packages > Find by keyword >

RFCCA  

Random Forest with Canonical Correlation Analysis
View on CRAN: Click here


Download and install RFCCA package within the R console
Install from CRAN:
install.packages("RFCCA")

Install from Github:
library("remotes")
install_github("cran/RFCCA")

Install by package version:
library("remotes")
install_version("RFCCA", "2.0.0")



Attach the package and use:
library("RFCCA")
Maintained by
Cansu Alakus
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-04
Latest Update:
Description:
Random Forest with Canonical Correlation Analysis (RFCCA) is a random forest method for estimating the canonical correlations between two sets of variables depending on the subject-related covariates. The trees are built with a splitting rule specifically designed to partition the data to maximize the canonical correlation heterogeneity between child nodes. The method is described in Alakus et al. (2021) . 'RFCCA' uses 'randomForestSRC' package (Ishwaran and Kogalur, 2020) by freezing at the version 2.9.3. The custom splitting rule feature is utilised to apply the proposed splitting rule. The 'randomForestSRC' package implements 'OpenMP' by default, contingent upon the support provided by the target architecture and operating system. In this package, 'LAPACK' and 'BLAS' libraries are used for matrix decompositions.
How to cite:
Cansu Alakus (2020). RFCCA: Random Forest with Canonical Correlation Analysis. R package version 2.0.0, https://cran.r-project.org/web/packages/RFCCA. Accessed 25 Jun. 2026.
Previous versions and publish date:
2.0.0 (2024-02-09 01:10)
Other packages that cited RFCCA R package
View RFCCA citation profile
Other R packages that RFCCA depends, imports, suggests or enhances
Complete documentation for RFCCA
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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