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-4.5)iimm_0.1.zip(r-4.4)iimm_0.1.zip(r-4.3)
iimm_0.1.tgz(r-4.4-any)iimm_0.1.tgz(r-4.3-any)
iimm_0.1.tar.gz(r-4.5-noble)iimm_0.1.tar.gz(r-4.4-noble)
iimm_0.1.tgz(r-4.4-emscripten)iimm_0.1.tgz(r-4.3-emscripten)
iimm.pdf |iimm.html✨
iimm/json (API)

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

Peer review:

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

On CRAN:

2.40 score 5 stars 1 exports 56 dependencies

Last updated 6 years agofrom:248789c1b7. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-winOKOct 08 2024
R-4.5-linuxOKOct 08 2024
R-4.4-winOKOct 08 2024
R-4.4-macOKOct 08 2024
R-4.3-winOKOct 08 2024
R-4.3-macOKOct 08 2024

Exports:lmer_t

Dependencies:backportsbootbroomclicolorspacecowplotcpp11data.tableDerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelme4lmerTestmagrittrMASSMatrixmemiscmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnumDerivpbkrtestpillarpkgconfigpurrrR6RColorBrewerRcppRcppEigenrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithryaml