parametricbootstrap: Parametric bootstrap for Julia mixed effects models

In jlme: Regression Modelling with 'GLM.jl' and 'MixedModels.jl' in 'Julia'

Parametric bootstrap for Julia mixed effects models

Description

Parametric bootstrap for Julia mixed effects models

Usage

parametricbootstrap(
  x,
  nsim,
  seed,
  ...,
  optsum_overrides = list(ftol_rel = 1e-08)
)

Arguments

x	A Julia MixedModel of class jlme
nsim	Number of simulations
seed	Seed for the random number generator (Random.MersenneTwister)
...	Not implemented
optsum_overrides	Values to override in the OptSummary.

Value

MixedModels.parametricboostrap() output as object of class jlmeboot

Examples

jlme_setup(restart = TRUE)

jmod <- jlmer(Reaction ~ Days + (Days | Subject), lme4::sleepstudy)
tidy(jmod)

samp <- parametricbootstrap(jmod, nsim = 100L, seed = 42L)
samp

tidy(samp)

stop_julia()

jlme documentation built on April 3, 2025, 10:29 p.m.