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
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lmeresampler.pdf |lmeresampler.html
lmeresampler/json (API)
NEWS

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

Peer review:

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

Datasets:
  • jsp728 - Junior school project math score data.

On CRAN:

7.81 score 37 stars 3 packages 96 scripts 528 downloads 11 exports 55 dependencies

Last updated 12 months agofrom:d5124646d9. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winNOTENov 01 2024
R-4.5-linuxNOTENov 01 2024
R-4.4-winNOTENov 01 2024
R-4.4-macNOTENov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:%>%bootstrapbootstrap_pvalscase_bootstrapcombine_lmeresampcombine_pvalsextract_parametersparametric_bootstrapreb_bootstrapresid_bootstrapwild_bootstrap

Dependencies:clicolorspacecpp11diagonalsdistributionaldplyrfansifarverforcatsgenericsggdistggplot2ggrepelgluegtableHLMdiaghmsisobandjanitorlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmenlmeUnumDerivpillarpkgconfigplyrpurrrquadprogR6RColorBrewerRcppRcppArmadilloreshape2rlangscalessnakecasestatmodstringistringrtibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithr

Vignette

Rendered fromlmeresampler-vignette.Rmdusingknitr::rmarkdown_notangleon Nov 01 2024.

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

Readme and manuals

Help Manual

Help pageTopics
Calculate Bootstrap p-values for fixed effectsbootstrap_pvals bootstrap_pvals.lme bootstrap_pvals.merMod
Bootstrap Nested Linear Mixed-Effects Modelsbootstrap bootstrap.lme bootstrap.merMod
Cases Bootstrap for Nested LMEscase_bootstrap case_bootstrap.lme case_bootstrap.merMod
Combine bootstrap resultscombine_lmeresamp
Combine p-valuescombine_pvals
Calculate confidence intervals for a lmeresamp objectconfint.lmeresamp
Extract parameters from LME modelsextract_parameters
Junior school project math score data.jsp728
lmeresampler: A package for bootstrapping nested linear mixed-effects modelslmeresampler package-lmeresampler
Parametric Bootstrap for Nested LMEsparametric_bootstrap parametric_bootstrap.lme parametric_bootstrap.merMod
Plot bootstrap resultsplot.lmeresamp
Print coefficients from a 'coef_tbl' objectprint.coef_tbl
Print a summary of an 'lmeresamp' objectprint.lmeresamp
REB Bootstrap for Two-Level Nested LMEsreb_bootstrap reb_bootstrap.lme reb_bootstrap.lmerMod
Residual Bootstrap for Nested LMEsresid_bootstrap resid_bootstrap.lme resid_bootstrap.merMod
Calculate summary statistics for 'lmeresamp' objectssummary.lmeresamp
Wild Bootstrap for LME modelswild_bootstrap wild_bootstrap.lme wild_bootstrap.lmerMod