fast_glm: Wrapper for faster Generalized Linear Models

In survtmle: Compute Targeted Minimum Loss-Based Estimates in Right-Censored Survival Settings

Description

A convenience utility to fit regression models more quickly in the main internal functions for estimation, which usually require logistic regression. Use of speedglm appears to provide roughly an order of magnitude improvement in speed when compared to glm in custom benchmarks.

Usage

fast_glm(reg_form, data, family, ...)

Arguments

reg_form	Object of class formula indicating the regression to be fit.
data	Object of class data.frame containing the data.
family	Object of class family from package stats indicating the error distribution. Appropriate options are limited to gaussian and binomial.
...	Additional arguments passed to glm or speedglm.

Value

Object of class glm or speedglm.

survtmle documentation built on May 2, 2019, 9:44 a.m.