bootstrap_lmer: Bootstrap confidence intervals for (g)lmer models.

In LiamDBailey/MyFuncs:

Description

Bootstrap confidence intervals for (g)lmer models.

Usage

bootstrap_lmer(model, n, conf = 0.95, ...)

Arguments

model	(g)lmer model for confidence interval estimation.
n	Number of bootstrap iterations
conf	Size of confidence interval. 0.95 by default.
...	Other arguments passed to bootMer in lme4.

Value

A dataframe with confidence interval information.

Examples

#Fit model
library(lme4)
library(boot)
data(sleepstudy)
data(cbpp)

fm1 <- lmer(Reaction ~ Days + (1|Subject), sleepstudy)

#Calculate 95% CIs with parametric boostrap and 100 iterations
bootstrap_lmer(fm1, n = 100, conf = 0.95, type = "parametric")

#Do the same with glmer
gm1 <- glmer(cbind(incidence, size - incidence) ~ period + (1 | herd),
data = cbpp, family = binomial)

#Calculate 95% CIs with parametric boostrap and 100 iterations
bootstrap_lmer(gm1, n = 100, conf = 0.95, type = "parametric")

LiamDBailey/MyFuncs documentation built on June 5, 2019, 5:10 p.m.