PLR.normalize: Re-normalizes the estimated coefficients of a penalized...
In LorenzRegression: Lorenz and Penalized Lorenz Regressions
View source: R/PLR-normalize.R
PLR.normalize R Documentation
Re-normalizes the estimated coefficients of a penalized Lorenz regression
Description
PLR.normalize transforms the estimated coefficients of a penalized Lorenz regression to match the model where the first category of each categorical variable is omitted.
Usage
PLR.normalize(object)
Arguments
object
An object of S3 class "PLR". The object must also contain a "theta" slot with the estimated coefficients
Value
A matrix of re-normalized coefficients.
See Also
Lorenz.Reg
LorenzRegression documentation built on June 27, 2025, 9:07 a.m.
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View source: R/PLR-normalize.R
| PLR.normalize | R Documentation |
Re-normalizes the estimated coefficients of a penalized Lorenz regression
Description
PLR.normalize transforms the estimated coefficients of a penalized Lorenz regression to match the model where the first category of each categorical variable is omitted.
Usage
PLR.normalize(object)
Arguments
object |
An object of S3 class |
Value
A matrix of re-normalized coefficients.
See Also
Lorenz.Reg
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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