regsim.glm: Regression Simulation for Generalized Linear Models

In altaf-ali/regsim: Regression Model Simulations

Description

regsim.glm simulates quantities of interest from a generalized linear model

Usage

## S3 method for class 'glm'
regsim(object, x, num = 1000, link = NULL, ...)

Arguments

object	a regression model, usually, a result of a call to glm
x	a list of explanatory variables
num	number of iterations to run
link	model link function
...	additional arguments passed to class-specific functions

Examples

library(regsim)

y <- swiss$Fertility > median(swiss$Fertility)
model <- glm(y ~ Education + Agriculture, family = binomial, data = swiss)
x <- list(Agriculture = seq(1, 100, 5))
sim <- regsim(model, x)
summary(sim)

altaf-ali/regsim documentation built on May 9, 2019, 9:57 p.m.