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]

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lmeresampler/json (API)
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Bug tracker:https://github.com/aloy/lmeresampler/issues

On CRAN:

11 exports 37 stars 3.10 score 55 dependencies 3 dependents 82 scripts 494 downloads

Last updated 10 months agofrom:d5124646d9. Checks:OK: 3 NOTE: 4. Indexed: yes.

Exports:%>%bootstrapbootstrap_pvalscase_bootstrapcombine_lmeresampcombine_pvalsextract_parametersparametric_bootstrapreb_bootstrapresid_bootstrapwild_bootstrap

Dependencies:clicolorspacecpp11diagonalsdistributionaldplyrfansifarverforcatsgenericsggdistggplot2ggrepelgluegtableHLMdiaghmsisobandjanitorlabelinglatticelifecyclelubridatemagrittrMASSMatrixmgcvmunsellnlmenlmeUnumDerivpillarpkgconfigplyrpurrrquadprogR6RColorBrewerRcppRcppArmadilloreshape2rlangscalessnakecasestatmodstringistringrtibbletidyrtidyselecttimechangeutf8vctrsviridisLitewithr