test_data: Simulated data containing three fixed effects and one random...

In glmmboot: Bootstrap Resampling for Mixed Effects and Plain Models

Description

A small normal dataset with a proportional outcome to illustrate the use of this package. The outcome has mean expit(0.5 + 0.1 * x_var1 + 0.2 * x_var2 + 0.3 * x_var3 + SUBJ_VAL) where SUBJ_VAL are the values of the random effect The SD of y is then shrunk by 0.9 relative to a binomial distribution, and then beta values are generated. Arbitrarily close to the endpoints gives zeros and ones.

Usage

test_data

Format

A data frame with 300 rows and 4 variables:

x_var1

independent normally distributed variable

x_var2

independent normally distributed variable

x_var3

independent normally distributed variable

subj

levels of random effect

y

outcome: lives in interval [0,1]

glmmboot documentation built on June 28, 2021, 1:05 a.m.