Package: bmlm 1.3.15

bmlm: Bayesian Multilevel Mediation

Easy estimation of Bayesian multilevel mediation models with Stan.

Authors:Matti Vuorre [aut, cre]

bmlm_1.3.15.tar.gz
bmlm_1.3.15.zip(r-4.7-x86_64)bmlm_1.3.15.zip(r-4.7-arm64)bmlm_1.3.15.zip(r-4.6-x86_64)bmlm_1.3.15.zip(r-4.6-arm64)bmlm_1.3.15.zip(r-4.5-x86_64)
bmlm_1.3.15.tgz(r-4.6-x86_64)bmlm_1.3.15.tgz(r-4.6-arm64)bmlm_1.3.15.tgz(r-4.5-x86_64)bmlm_1.3.15.tgz(r-4.5-arm64)
bmlm_1.3.15.tar.gz(r-4.7-arm64)bmlm_1.3.15.tar.gz(r-4.7-x86_64)bmlm_1.3.15.tar.gz(r-4.6-arm64)bmlm_1.3.15.tar.gz(r-4.6-x86_64)
bmlm_1.3.15.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
bmlm/json (API)

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

Bug tracker:https://github.com/mvuorre/bmlm/issues

Uses libs:
  • onetbb– Parallelism library for C++
  • c++– GNU Standard C++ Library v3
Datasets:
  • BLch9 - Relationship between work stressors, work dissatisfaction, and relationship dissatisfaction.
  • MEC2010 - Judgments of performance in a video game

On CRAN:

Conda:

bayesian-data-analysismultilevel-mediation-modelsstatisticsonetbbcpp

5.30 score 44 stars 571 downloads 3 mentions 6 exports 48 dependencies

Last updated from:97feb82146. Checks:13 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64NOTE336
linux-devel-x86_64NOTE311
source / vignettesOK270
linux-release-arm64NOTE299
linux-release-x86_64NOTE291
macos-release-arm64NOTE352
macos-release-x86_64NOTE529
macos-oldrel-arm64NOTE234
macos-oldrel-x86_64NOTE546
windows-devel-arm64NOTE482
windows-devel-x86_64NOTE400
windows-release-arm64NOTE484
windows-release-x86_64NOTE282
windows-oldrel-x86_64NOTE356
wasm-releaseOK184

Exports:isolatemlmmlm_pars_plotmlm_path_plotmlm_spaghetti_plotmlm_summary

Dependencies:abindbackportsBHcallrcheckmateclicpp11descdistributionalfarvergenericsggplot2gluegridExtragtableinlineisobandlabelinglifecycleloomagrittrmatrixStatsnumDerivotelpillarpkgbuildpkgconfigposteriorprocessxpsQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelrlangrstanrstantoolsS7scalesStanHeaderstensorAtibbleutf8vctrsviridisLitewithr