Package: lmeresampler 0.2.4

lmeresampler: Bootstrap Methods for Nested Linear Mixed-Effects Models

Bootstrap routines for nested linear mixed effects models fit using either 'lme4' or 'nlme'. The provided 'bootstrap()' function implements the parametric, residual, cases, random effect block (REB), and wild bootstrap procedures. An overview of these procedures can be found in Van der Leeden et al. (2008) <doi:10.1007/978-0-387-73186-5_11>, Carpenter, Goldstein & Rasbash (2003) <doi:10.1111/1467-9876.00415>, and Chambers & Chandra (2013) <doi:10.1080/10618600.2012.681216>.

Authors:Adam Loy [aut, cre], Spenser Steele [aut], Jenna Korobova [aut], Ilmari Tamminen [ctb]

lmeresampler_0.2.4.tar.gz
lmeresampler_0.2.4.zip(r-4.7)lmeresampler_0.2.4.zip(r-4.6)lmeresampler_0.2.4.zip(r-4.5)
lmeresampler_0.2.4.tgz(r-4.6-any)lmeresampler_0.2.4.tgz(r-4.5-any)
lmeresampler_0.2.4.tar.gz(r-4.7-any)lmeresampler_0.2.4.tar.gz(r-4.6-any)
lmeresampler_0.2.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
lmeresampler/json (API)
NEWS

# Install 'lmeresampler' in R:

install.packages('lmeresampler', repos = c('https://aloy.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/aloy/lmeresampler/issues

Datasets:

jsp728 - Junior school project math score data.

On CRAN:

7.84 score 38 stars 3 packages 102 scripts 553 downloads 11 exports 53 dependencies

Last updated from:d5124646d9. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	229
source / vignettes	OK	372
linux-release-x86_64	NOTE	223
macos-release-arm64	NOTE	180
macos-oldrel-arm64	NOTE	133
windows-devel	NOTE	198
windows-release	NOTE	173
windows-oldrel	NOTE	175
wasm-release	OK	119

Exports:%>%bootstrap bootstrap_pvals case_bootstrap combine_lmeresamp combine_pvals extract_parameters parametric_bootstrap reb_bootstrap resid_bootstrap wild_bootstrap

Dependencies:cli cpp11 diagonals distributional dplyr farver forcats generics ggdist ggplot2 ggrepel glue gtable HLMdiag hms isoband janitor labeling lattice lifecycle lubridate magrittr MASS Matrix mgcv nlme nlmeU numDeriv pillar pkgconfig plyr purrr quadprog R6 RColorBrewer Rcpp RcppArmadillo reshape2 rlang S7 scales snakecase statmod stringi stringr tibble tidyr tidyselect timechange utf8 vctrs viridisLite withr

Vignette

Rendered fromlmeresampler-vignette.Rmdusingknitr::rmarkdown_notangleon Jun 02 2026.

Last update: 2022-03-24
Started: 2020-08-20

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
Calculate Bootstrap p-values for fixed effects	bootstrap_pvals bootstrap_pvals.lme bootstrap_pvals.merMod
Bootstrap Nested Linear Mixed-Effects Models	bootstrap bootstrap.lme bootstrap.merMod
Cases Bootstrap for Nested LMEs	case_bootstrap case_bootstrap.lme case_bootstrap.merMod
Combine bootstrap results	combine_lmeresamp
Combine p-values	combine_pvals
Calculate confidence intervals for a lmeresamp object	confint.lmeresamp
Extract parameters from LME models	extract_parameters
Junior school project math score data.	jsp728
lmeresampler: A package for bootstrapping nested linear mixed-effects models	lmeresampler package-lmeresampler
Parametric Bootstrap for Nested LMEs	parametric_bootstrap parametric_bootstrap.lme parametric_bootstrap.merMod
Plot bootstrap results	plot.lmeresamp
Print coefficients from a 'coef_tbl' object	print.coef_tbl
Print a summary of an 'lmeresamp' object	print.lmeresamp
REB Bootstrap for Two-Level Nested LMEs	reb_bootstrap reb_bootstrap.lme reb_bootstrap.lmerMod
Residual Bootstrap for Nested LMEs	resid_bootstrap resid_bootstrap.lme resid_bootstrap.merMod
Calculate summary statistics for 'lmeresamp' objects	summary.lmeresamp
Wild Bootstrap for LME models	wild_bootstrap wild_bootstrap.lme wild_bootstrap.lmerMod