mdl_glm: Wrapper for 'stats::glm()'.

In ddml: Double/Debiased Machine Learning

Wrapper for stats::glm().

Description

Simple wrapper for stats::glm().

Usage

mdl_glm(y, X, ...)

Arguments

y	The outcome variable.
X	The feature matrix.
...	Additional arguments passed to glm. See stats::glm() for a complete list of arguments.

Value

mdl_glm returns an object of S3 class mdl_glm as a simple mask of the return object of stats::glm().

See Also

stats::glm()

Other ml_wrapper: mdl_glmnet(), mdl_ranger(), mdl_xgboost(), ols()

Examples

glm_fit <- mdl_glm(sample(0:1, 100, replace = TRUE),
                   matrix(rnorm(1000), 100, 10))
class(glm_fit)

ddml documentation built on Oct. 3, 2024, 1:13 a.m.