Other packages > Find by keyword >

multiColl  

Collinearity Detection in a Multiple Linear Regression Model
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("multiColl", "2.0")



Attach the package and use:
library("multiColl")
Maintained by
R. Salmeron
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-18
Latest Update: 2022-07-21
Description:
The detection of worrying approximate collinearity in a multiple linear regression model is a problem addressed in all existing statistical packages. However, we have detected deficits regarding to the incorrect treatment of qualitative independent variables and the role of the intercept of the model. The objective of this package is to correct these deficits. In this package will be available detection and treatment techniques traditionally used as the recently developed.
How to cite:
R. Salmeron (2019). multiColl: Collinearity Detection in a Multiple Linear Regression Model. R package version 2.0, https://cran.r-project.org/web/packages/multiColl. Accessed 05 Mar. 2026.
Previous versions and publish date:
1.0 (2019-07-18 13:14)
Other packages that cited multiColl R package
View multiColl citation profile
Other R packages that multiColl depends, imports, suggests or enhances
Complete documentation for multiColl
Functions, R codes and Examples using the multiColl R package
Some associated functions: CN . CNs . CV . CVs . KG . PROPs . RdetR . SLM . VIF . ki . lu . multiCol . multiColLM . multiColl-package . perturb.n . perturb . theil . 
Some associated R codes: CN.R . CNs.R . CV.R . CVs.R . PROPs.R . RdetR.R . SLM.R . VIF.R . ki.R . lu.R . multiCol.R . multiColLM.R . perturb.R . perturb.n.R .  Full multiColl package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

neat  
Efficient Network Enrichment Analysis Test
Includes functions and examples to compute NEAT, the Network Enrichment Analysis Test described in ...
Download / Learn more Package Citations See dependency  
roccv  
ROC for Cross Validation Results
Cross validate large genetic data while specifying clinical variables that should always be in the m ...
Download / Learn more Package Citations See dependency  
imagefx  
Extract Features from Images
Synthesize images into characteristic features for time-series analysis or machine learning applicat ...
Download / Learn more Package Citations See dependency  
ClimClass  
Climate Classification According to Several Indices
Classification of climate according to Koeppen - Geiger, of aridity indices, of continentality indi ...
Download / Learn more Package Citations See dependency  
diffIRT  
Diffusion IRT Models for Response and Response Time Data
Package to fit diffusion-based IRT models to response and response time data. Models are fit using ...
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  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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