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||Kim Nimon <firstname.lastname@example.org>, Fred Oswald, and J. Kyle Roberts.|
|Date of publication||2013-09-16 00:43:36|
|Maintainer||Kim Nimon <email@example.com>|
|License||GPL (>= 2)|
aps: All Possible Subsets Regression
boot.yhat: Bootstrap metrics produced from /codecalc.yhat
canonCommonality: Commonality Coefficents for Canonical Correlation
canonVariate: Canonical Commonality Analysis
commonalityCoefficients: Commonality Coefficents
effect.size: Effect Size Computation for lm
genList: Generate List R^2 Values
odd: isOdd Function
regr: Regression effect reporting for lm class objects
setBits: Decimal to Binary
yhat-package: Interpreting Regression Effects
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