standardize_wt: Weighted Standardization
In penppml: Penalized Poisson Pseudo Maximum Likelihood Regression

standardize_wt

R Documentation

Weighted Standardization

Description

Performs weighted standardization of x variables. Used in fastridge.

Usage

standardize_wt(x, weights = rep(1/n, n), intercept = TRUE, return.sd = FALSE)

Arguments

`x`	Regressor matrix.
`weights`	Weights.
`intercept`	Logical. If `TRUE`, adds an intercept.
`return.sd`	Logical. If `TRUE`, it returns standard errors for the means.

Value

If return.sd == FALSE, it gives the matrix of standardized regressors. If return.sd == TRUE, then it returns the vector of standard errors of the means of the variables.

penppml documentation built on Sept. 8, 2023, 5:58 p.m.