Package: blme 1.0-7

blme: Bayesian Linear Mixed-Effects Models

Maximum a posteriori estimation for linear and generalized linear mixed-effects models in a Bayesian setting, implementing the methods of Chung, et al. (2013) <doi:10.1007/s11336-013-9328-2>. Extends package 'lme4' (Bates, Maechler, Bolker, and Walker (2015) <doi:10.18637/jss.v067.i01>).

Authors:Vincent Dorie [aut, cre], Douglas Bates [ctb], Martin Maechler [ctb], Ben Bolker [ctb], Steven Walker [ctb]

blme_1.0-7.tar.gz
blme_1.0-7.zip(r-4.7)blme_1.0-7.zip(r-4.6)blme_1.0-7.zip(r-4.5)
blme_1.0-7.tgz(r-4.6-any)blme_1.0-7.tgz(r-4.5-any)
blme_1.0-7.tar.gz(r-4.7-any)blme_1.0-7.tar.gz(r-4.6-any)
blme_1.0-7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
blme/json (API)

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

Bug tracker:https://github.com/vdorie/blme/issues

On CRAN:

Conda:

9.79 score 46 stars 8 packages 442 scripts 13k downloads 31 mentions 2 exports 14 dependencies

Last updated from:eb5808b5b6. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK151
source / vignettesOK208
linux-release-x86_64OK148
macos-release-arm64OK139
macos-oldrel-arm64OK97
windows-develOK149
windows-releaseOK111
windows-oldrelOK108
wasm-releaseOK99

Exports:bglmerblmer

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulasrlang

Readme and manuals

Help Manual

Help pageTopics
Fit Bayesian Linear and Generalized Linear Mixed-Effects Modelsbglmer blmer
Bayesian Linear Mixed-Effects Model Prior Representations and bmer*Dist MethodsbmerDist bmerDist-class print,bmerDist-method show,bmerDist-method
Class "bmerMod" of Fitted Mixed-Effect ModelsbglmerMod-class blmerMod-class bmerMod bmerMod-class print.bmerMod print.summary.bmerMod show,bmerMod-method show.bmerMod summary.bmerMod summary.summary.bmerMod vcov.summary.bmerMod