dimarConstructRegularizationMatrix: dimarConstructRegularizationMatrix

In kreutz-lab/DIMAR: Data-driven selection of an imputation algorithm in R

dimarConstructRegularizationMatrix

Description

Generates regularization matrix: Expand the design matrix so each predictor has at least one positive entry, this exhibits the regression coefficients to get infinite

Usage

dimarConstructRegularizationMatrix(design)

Arguments

design

list of response vector, design matrix and predictor type

Value

list of response vector, design matrix with regularization and predictor type

Examples

mtx <- matrix(rnorm(1000),nrow=100)
mtx[sample(c(1:1000),100)] <- NA
design <- dimarConstructDesignMatrix(mtx)
design <- dimarConstructRegularizationMatrix(design)
fit <- glm.fit(design$X, design$y, family=binomial())

kreutz-lab/DIMAR documentation built on Aug. 19, 2024, 11:07 a.m.