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 22 Dec. 2024.
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
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

Rfast2  
A Collection of Efficient and Extremely Fast R Functions II
A collection of fast statistical and utility functions for data analysis. Functions for regression, ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
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  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
Download / Learn more Package Citations See dependency  
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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