Package: blme 1.0-6

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_1.0-6.tar.gz
blme_1.0-6.zip(r-4.5)blme_1.0-6.zip(r-4.4)blme_1.0-6.zip(r-4.3)
blme_1.0-6.tgz(r-4.5-any)blme_1.0-6.tgz(r-4.4-any)blme_1.0-6.tgz(r-4.3-any)
blme_1.0-6.tar.gz(r-4.5-noble)blme_1.0-6.tar.gz(r-4.4-noble)
blme_1.0-6.tgz(r-4.4-emscripten)blme_1.0-6.tgz(r-4.3-emscripten)
blme.pdf |blme.html
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:

8.77 score 43 stars 5 packages 193 scripts 4.7k downloads 31 mentions 2 exports 13 dependencies

Last updated 6 months agofrom:6026f0742b. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 04 2025
R-4.5-winOKFeb 04 2025
R-4.5-macOKFeb 04 2025
R-4.5-linuxOKFeb 04 2025
R-4.4-winOKFeb 04 2025
R-4.4-macOKFeb 04 2025
R-4.3-winOKFeb 04 2025
R-4.3-macOKFeb 04 2025

Exports:bglmerblmer

Dependencies:bootlatticelme4MASSMatrixminqanlmenloptrrbibutilsRcppRcppEigenRdpackreformulas

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