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yhat  

Interpreting Regression Effects
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("yhat", "2.0-4")



Attach the package and use:
library("yhat")
Maintained by
Kim Nimon
[Scholar Profile | Author Map]
First Published: 2009-07-18
Latest Update: 2023-10-10
Description:
The purpose of this package is to provide methods to interpret multiple linear regression and canonical correlation results including beta weights,structure coefficients, validity coefficients, product measures, relative weights, all-possible-subsets regression, dominance analysis, commonality analysis, and adjusted effect sizes.
How to cite:
Kim Nimon (2009). yhat: Interpreting Regression Effects. R package version 2.0-4, https://cran.r-project.org/web/packages/yhat. Accessed 29 Mar. 2025.
Previous versions and publish date:
1.0-0 (2009-07-18 18:16), 1.0-1 (2009-08-20 19:56), 1.0-2 (2009-08-26 14:39), 1.0-3 (2009-12-10 20:56), 1.0-4 (2012-03-27 22:55), 1.0-5 (2012-07-26 16:40), 2.0-0 (2013-09-16 00:43), 2.0-1 (2020-05-25 20:10), 2.0-2 (2020-05-28 00:00), 2.0-3 (2021-01-04 22:20)
Other packages that cited yhat R package
View yhat citation profile
Other R packages that yhat depends, imports, suggests or enhances
Complete documentation for yhat
Functions, R codes and Examples using the yhat R package
Some associated functions: aps . boot.yhat . canonCommonality . canonVariate . commonalityCoefficients . effect.size . genList . odd . regr . setBits . yhat-package . 
Some associated R codes: canonCommonality.R . canonVariate.R . commonalityCoefficients.R . effect.size.R . genList.R . odd.R . regr.R . setBits.R .  Full yhat package functions and examples
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