Package: pamm 1.122

pamm: Power Analysis for Random Effects in Mixed Models

Simulation functions to assess or explore the power of a dataset to estimates significant random effects (intercept or slope) in a mixed model. The functions are based on the "lme4" and "lmerTest" packages.

Authors:Julien Martin [aut, cre]

pamm_1.122.tar.gz
pamm_1.122.zip(r-4.7-any)pamm_1.122.zip(r-4.6-any)pamm_1.122.zip(r-4.5-any)
pamm_1.122.tgz(r-4.6-any)pamm_1.122.tgz(r-4.5-any)
pamm_1.122.tar.gz(r-4.7-any)pamm_1.122.tar.gz(r-4.6-any)
pamm_1.122.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
pamm/json (API)

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

Bug tracker:https://github.com/juliengamartin/pamm_r/issues

On CRAN:

Conda:

3.41 score 3 stars 17 scripts 338 downloads 6 exports 33 dependencies

Last updated from:fc1129d6ea. Checks:7 NOTE, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE152
source / vignettesERROR277
linux-releaseNOTE139
macos-releaseNOTE153
macos-oldrelNOTE156
windows-develNOTE94
windows-releaseNOTE100
windows-oldrelNOTE96
wasm-releaseOK135

Exports:EAMMPAMMplot.EAMMplot.PAMMplot.SSFSSF

Dependencies:bootclicpp11farverggplot2gluegtableisobandlabelinglatticelifecyclelme4lmerTestMASSMatrixminqamvtnormnlmenloptrnumDerivR6rbibutilsRColorBrewerRcppRcppEigenRdpackreformulasrlangS7scalesvctrsviridisLitewithr