subBoot: Bootstrap a subset of an lme4 model

In jknowles/merTools: Tools for Analyzing Mixed Effect Regression Models

Bootstrap a subset of an lme4 model

Description

Bootstrap a subset of an lme4 model

Usage

subBoot(merMod, n = NULL, FUN, R = 100, seed = NULL, warn = FALSE)

Arguments

merMod	a valid merMod object
n	the number of rows to sample from the original data in the merMod object, by default will resample the entire model frame
FUN	the function to apply to each bootstrapped model
R	the number of bootstrap replicates, default is 100
seed	numeric, optional argument to set seed for simulations
warn	logical, if TRUE, warnings from lmer will be issued, otherwise they will be suppressed default is FALSE

Details

This function allows users to estimate parameters of a large merMod object using bootstraps on a subset of the data.

Value

a data.frame of parameters extracted from each of the R replications. The original values are appended to the top of the matrix.

Examples

(fm1 <- lmer(Reaction ~ Days + (Days | Subject), sleepstudy))
resultMatrix <- subBoot(fm1, n = 160, FUN = thetaExtract, R = 20)

jknowles/merTools documentation built on Feb. 11, 2024, 5:07 a.m.