Changes in version 0.2.4 (2023-02-11)                  

    o   Adding tests for rboot noise feature.

                 Changes in version 0.2.3 (2023-01-30)                  

    o   There are no user-visible changes. This fixes an error with testing on CRAN based on RNG differences.

    o   `rbootnoise` argument added to residual bootstrap to bypass "system is exactly singular" issues with lme4 models (Credit to Ilmari Tamminen)

    o   Eliminated unnecessary warnings for unnamed vectors with type = "reb2".

    o   `bootstrap_pvals()` added mean centering for correction to the calculation

                 Changes in version 0.2.2 (2022-04-29)                  

NEW FEATURES

    o   Additional auxilliary distributions were added for the Wild bootstrap.  There are now 6 options, including the standard normal.

    o   `.refit` argument can be set to FALSE in order to return the only bootstrap responses.

    o   `bootstrap_pvals()` appends bootstrap p-values to the summary table for the fixed effects

    o   `combine_pvals()` provides a way to combine the results of `bootstrap_pvals()` for parallel runs.

BUG FIXES

    o   `plot.lmeresamp()` now works if the replicates are a numeric vector rather than a data frame or tibble.

    o   bug fixed when `na.action = na.omit` 

    o   fixed issue with transformed variables in `glmer`

                 Changes in version 0.2.1 (2022-03-23)                  

    o   Unarchiving from CRAN
	DEPENDENCY CHANGE

    o   Remove `catchr` dependency to avoid issues on CRAN
	BUG FIXES

    o   message/error/warning summarization in `summary.lmeresamp` has been fixed

    o   If `var` is omitted from `plot.lmeresamp()` a halfeye plot with all terms is created.

                 Changes in version 0.2.0 (2021-05-01)                  

    o   The case, parametric, and residual bootstraps now suppport `glmerMod` objects.

    o   The Wild bootstrap is available for `lme` and `lmerMod` objects.

    o   The CGR bootstrap is now the default "residual" bootstrap algorithm.

    o   Objects returned by the `bootstrap()` call are now of class `lmeresamp`.

    o   `lmeresamp` objects have a new structure, including a new `stats` dataframe (contains the observed value, bootstrap mean, standard error, and bias of each LME model parameter).

    o   New generic `print()` function that is compatible with `lmeresamp` objects

    o   New generic `confint()` function that is compatible with `lmeresamp` objects (the possible confidence intervals include: basic, normal, percentile, or all)

    o   A package vignette is now available

    o   Vignette outlines how to perform parallelization in `bootstrap()` using the `doParallel` and `foreach` packages

    o   New `combine()` function that combines processes split for parallelization for unified output

                 Changes in version 0.1.1 (2020-01-31)                  

    o   Unarchiving from CRAN - back to active development

    o   Updating for use with the new version of dplyr (>= 0.8.0)

    o   Bug fixed for `case_bootstrap.lme ` so that `.cases.resamp` can be found

                 Changes in version 0.1.0 (2016-07-15)                  

    o   Initial release, enjoy!