Package: iimm 0.1

iimm: Improved Infrence for Multilevel Models with Few Clusters

Support for inference about linear mixed effects models estimated with 'lmer' from package 'lme4' using a Student's t-distribution with degrees of freedom determined by the m-l-1 heuristic or the Kenward-Roger method.

Authors:Martin Elff [aut, cre]

iimm_0.1.tar.gz
iimm_0.1.zip(r-4.6)iimm_0.1.zip(r-4.5)
iimm_0.1.tgz(r-4.6-any)iimm_0.1.tgz(r-4.5-any)
iimm_0.1.tar.gz(r-4.6-any)
iimm_0.1.tgz(r-4.5-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
iimm/json (API)

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

Bug tracker:https://github.com/melff/iimm/issues

On CRAN:

Conda:

2.40 score 5 stars 1 exports 71 dependencies

Last updated from:248789c1b7. Checks:8 OK, 1 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK782
source / vignettesOK256
linux-release-x86_64OK169
macos-release-arm64OK471
macos-oldrel-arm64OK162
windows-develFAIL1019
windows-releaseOK1145
windows-oldrelOK121
wasm-releaseOK115

Exports:lmer_t

Dependencies:backportsbootbroomclicolorspacecowplotcpp11curldata.tableDerivdoBydplyrfarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelme4lmerTestlmtestmagrittrMASSMatrixmemiscmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquadprogquantmodR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesstringistringrtibbletidyrtidyselecttimeDatetseriesTTRurcautf8vctrsviridisLitewithrxtsyamlzoo