yhat-package {yhat} | R Documentation |
Interpreting Regression Effects
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.
Author(s)
Kim Nimon <kim.nimon@gmail.com>, Fred L. Oswald, J. Kyle Roberts
References
Beaton, A. E. (1973) Commonality. (ERIC Document Reproduction Service No. ED111829)
Butts, C. T. (2009). yacca: Yet Another Canonical Correlation Analysis Package. R package version 1.1.
Mood, A. M. (1969) Macro-analysis of the American educational system. Operations Research, 17, 770-784.
Nimon, K., Lewis, M., Kane, R. & Haynes, R. M. (2008) An R package to compute commonality coefficients in the multiple regression case: An introduction to the package and a practical example. Behavior Research Methods, 40(2), 457-466.
Nimon, K., & Oswald, F. L. (2013). Understanding the results of multiple linear regression: Beyond standardized regression coefficients. Organizational Research Methods, 16, 650-674.
See Also
regr
commonalityCoefficients
canonCommonality
calc.yhat
boot.yhat
booteval.yhat
plotCI.yhat
aps
commonality
dominance
dombin
rlw