glmLC: Weighted GLM for latent class covariates

In RPMM: Recursively Partitioned Mixture Model

Description

Wrapper for glm function to incorporate weights corresponding to latent classes

Usage

glmLC(y,W,family=quasibinomial(),eps=1E-8,Z=NULL)

Arguments

y	outcome
W	weight matrix (rows=cases, # rows = length of y)
family	glm family (default = quasibinomial for logistic regression)
eps	threshold below which to delete pseudo-subject corresponding to a specific weight
Z	matrix of additional covariates

Details

This function is a wrapper for glm to incorporate weights corresponding to latent classes (e.g. from an RPMM prediction)

Value

a glm object

RPMM documentation built on May 2, 2019, 2:52 p.m.