bootmlm: Bootstrap Resampling for Multilevel Models

Functions for bootstrapping with multilevel data and models (and mixed-effect models). It implements multiple bootstrap methods under the parametric, residual, and case bootstrap categories, as discussed in Van der Leeden, Meijer, and Busing (2008) <doi:10.1007/978-0-387-73186-5_11> and Carpenter, Goldstein, and Rasbash (2003) <doi:10.1111/1467-9876.00415>. Currently it supports fitted objects from the 'lme4' package.

Version:	0.1.1
Depends:	R (≥ 4.1.0)
Imports:	boot (≥ 1.3-19), lme4 (≥ 1.1-16), Matrix (≥ 1.2-11), methods, numDeriv, stats, utils
Suggests:	nlme, testthat (≥ 3.0.0), MASS, knitr, rmarkdown, haven, msm, dplyr, purrr, ggplot2
Published:	2026-05-13
DOI:	10.32614/CRAN.package.bootmlm (may not be active yet)
Author:	Mark Lai [aut, cre, cph]
Maintainer:	Mark Lai <marklhc at gmail.com>
BugReports:	https://github.com/marklhc/bootmlm/issues
License:	MIT + file LICENSE
URL:	https://github.com/marklhc/bootmlm, https://marklhc.github.io/bootmlm/
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	bootmlm results

Documentation:

Reference manual:	bootmlm.html , bootmlm.pdf
Vignettes:	Comparing Different Multilevel Bootstrapping Methods (source, R code) Using Multilevel Bootstrap for Derived Quantities (source, R code)

Downloads:

Package source:	bootmlm_0.1.1.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): bootmlm_0.1.1.tgz, r-oldrel (arm64): bootmlm_0.1.1.tgz, r-release (x86_64): bootmlm_0.1.1.tgz, r-oldrel (x86_64): bootmlm_0.1.1.tgz

Reverse dependencies:

Reverse suggests:

r2mlm

Linking:

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