bootstrap_nongaussian: Bootstrapping for non-gaussian functions (internal use)

In rptR: Repeatability Estimation for Gaussian and Non-Gaussian Data

Bootstrapping for non-gaussian functions (internal use)

Description

Bootstrapping for non-gaussian functions (internal use)

Usage

bootstrap_nongaussian(
  bootstr,
  R_pe,
  formula,
  data,
  Ysim,
  mod,
  grname,
  grname_org,
  nboot,
  parallel,
  ncores,
  CI,
  rptObj,
  update
)

Arguments

bootstr	bootstrap function. Re-assigns response simulated by simulate.merMod to data and estimates R with the R_pe function.
R_pe	Function to estimate Repeatabilities and Variances for grouping factors, Residuals, Overdispersion and Fixed effects.
formula	lme4 model formula
data	data.frame given as original input
Ysim	data.frame with simulated response variables from simulate.merMod
mod	fitted lme4 model
grname	original grnames vector without Residual or Fixed
grname_org	original grnames vector
nboot	number of bootstraps, equal to columns in Ysim
parallel	boolean
ncores	number of cores specified, defaults to NULL
CI	confidence interval, defaults to 0.95

rptR documentation built on June 8, 2025, 10:22 a.m.