R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
RelimpPCR
View on CRAN: Click
here
Download and install RelimpPCR package within the R console
Install from CRAN:
install.packages("RelimpPCR")
Install from Github:
library("remotes")
install_github("cran/RelimpPCR") Install by package version:
library("remotes")
install_version("RelimpPCR", "0.3.0") Attach the package and use:
library("RelimpPCR")
Maintained by
Michael Hernandez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-04
Latest Update: 2023-06-01
Description:
Performs Principal Components Analysis (also known as PCA) dimensionality reduction in the context of a linear regression. In most cases, PCA dimensionality reduction is performed independent of the response variable for a regression. This captures the majority of the variance of the model's predictors, but may not actually be the optimal dimensionality reduction solution for a regression against the response variable. An alternative method, optimized for a regression against the response variable, is to use both PCA and a relative importance measure. This package applies PCA to a given data frame of predictors, and then calculates the relative importance of each PCA factor against the response variable. It outputs ordered factors that are optimized for model fit. By performing dimensionality reduction with this method, an individual can achieve a the same r-squared value as performing just PCA, but with fewer PCA factors. References: Yuri Balasanov (2017) .
How to cite:
Michael Hernandez (2017). RelimpPCR: Relative Importance PCA Regression. R package version 0.3.0, https://cran.r-project.org/web/packages/RelimpPCR. Accessed 07 Aug. 2026.
Previous versions and publish date:
Other packages that cited RelimpPCR R package
View RelimpPCR citation profile
Other R packages that RelimpPCR depends,
imports, suggests or enhances
Complete documentation for RelimpPCR
Functions, R codes and Examples using
the RelimpPCR R package
Some associated functions: RelimpPCR . RelimpPCR.predict .
Some associated R codes: RelimpPCR.R . RelimpPCR_Predict.R . Full RelimpPCR package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
modelwordcloud
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Peter Hurford (view profile)
bbricks
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Haotian Chen (view profile)
enrichwith
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Ioannis Kosmidis (view profile)
BayesESS
Determines effective sample size of a parametric prior distribution
in Bayesian models. For a web-b ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jaejoon Song (view profile)
r2resize
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
28,083
R Packages
239,283
Dependencies
74,457
Author Associations
28,084
Publication Badges
