Package: iimm 0.1

iimm: Improved Inference 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-4.7-any)iimm_0.1.zip(r-4.6-any)iimm_0.1.zip(r-4.5-any)
iimm_0.1.tgz(r-4.6-any)iimm_0.1.tgz(r-4.5-any)
iimm_0.1.tar.gz(r-4.7-any)iimm_0.1.tar.gz(r-4.6-any)
iimm_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
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 64 dependencies

Last updated from:c945ef7ad7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK148
source / vignettesOK334
linux-releaseOK275
macos-releaseOK127
macos-oldrelOK168
windows-develOK125
windows-releaseOK319
windows-oldrelOK110
wasm-releaseOK225

Exports:lmer_t

Dependencies:backportsbootbroomclicolorspacecowplotcpp11data.tableDerivdoBydplyrfarverforecastfracdiffgenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelme4lmerTestlmtestmagrittrMASSMatrixmemiscminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesstringistringrtibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithryamlzoo