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yhat
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]
[Scholar Profile | Author Map]
All associated links for this package
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
Previous versions and publish date:
Other packages that cited yhat R package
View yhat citation profile
Other R packages that yhat depends,
imports, suggests or enhances
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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