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)

1 2	bootstrap_nongaussian(bootstr, R_pe, formula, data, Ysim, mod, grname, grname_org, nboot, parallel, ncores, CI, rptObj, update)

`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