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:
lmeresampler_0.2.4.tar.gz
lmeresampler_0.2.4.zip(r-4.7-any)lmeresampler_0.2.4.zip(r-4.6-any)lmeresampler_0.2.4.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
lmeresampler/json (API)
| # 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
- jsp728 - Junior school project math score data.
Last updated from:8f355e235c. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 190 | ||
| source / vignettes | OK | 295 | ||
| linux-release | OK | 264 | ||
| macos-release | OK | 171 | ||
| macos-oldrel | OK | 136 | ||
| windows-devel | OK | 156 | ||
| windows-release | OK | 172 | ||
| windows-oldrel | OK | 180 | ||
| wasm-release | OK | 117 |
Exports:%>%bootstrapbootstrap_pvalscase_bootstrapcombine_lmeresampcombine_pvalsextract_parametersparametric_bootstrapreb_bootstrapresid_bootstrapwild_bootstrap
Dependencies:clicpp11distributionaldplyrfarverforcatsgenericsggdistggplot2ggrepelgluegtableHLMdiagisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvnlmenlmeUnumDerivpillarpkgconfigpurrrquadprogR6rbibutilsRColorBrewerRcppRcppArmadilloRdpackreformulasrlangS7scalesstatmodstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
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.glmmTMB bootstrap.lme bootstrap.merMod |
| Cases Bootstrap for Nested LMEs | case_bootstrap case_bootstrap.glmmTMB 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 package-lmeresampler |
| Parametric Bootstrap for Nested LMEs | parametric_bootstrap parametric_bootstrap.glmmTMB 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.glmmTMB 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 |
