yhat
Interpreting Regression Effects
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.
- Version2.0-4
- R version≥ 2.7.0
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- Last release10/10/2023
Team
Kim Nimon
Kim Nimon, Fred Oswald, and J. Kyle Roberts.
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Dependencies
- Depends1 package
- Imports4 packages
- Suggests1 package