gen_sample

List of vectors of levels of each random effect.

list_of_levels

Default <code>NULL</code>. Name of columns to randomise over;
if <code>NULL</code>, will use all in <code>list_of_levels</code>

rand_columns

Default <code>NULL</code>;
optionally set a minimal number of unique levels each sample
must produce. Note that it should be a named vector,
the same as the levels to randomise over.

unique_resample_lim

Logical, default <code>TRUE</code>;
for greater coverage,
resample one less than the number of levels in each list.

reduce_by_one

Takes in a list of unique levels in the random columns,
gives back a random sampling of each.

internal

Performs bootstrap resampling for most models that update() works for. There
are two primary functions: bootstrap_model() performs block resampling if random effects
are present, and case resampling if not; bootstrap_ci() converts output from
bootstrap model runs into confidence intervals and p-values. By default,
bootstrap_model() calls bootstrap_ci().
Package motivated by Humphrey and Swingley (2018) <arXiv:1805.08670>.

gen_sample: Generates block resamples

Description

Usage

Arguments

Value