Robust Bayesian Linear Mixed-Effects Models using ABC [R package robustBLME version 0.1.3]

robustBLME: Robust Bayesian Linear Mixed-Effects Models using ABC

Bayesian robust fitting of linear mixed effects models through weighted likelihood equations and approximate Bayesian computation as proposed by Ruli et al. (2017) <doi:10.48550/arXiv.1706.01752>.

Version: 0.1.3

Depends: R (≥ 3.0.0), lme4 (≥ 1.1.12)

Imports: Rcpp (≥ 0.12.1), numDeriv, mvtnorm, utils, parallel, doParallel, foreach, iterators, stats

LinkingTo: Rcpp, RcppArmadillo

Suggests: devtools

Published: 2018年01月30日

DOI: 10.32614/CRAN.package.robustBLME

Author: Erlis Ruli [aut, cre], Nicola Sartori [aut], Laura Ventura [aut]

Maintainer: Erlis Ruli <erlisr at yahoo.it>

BugReports: https://github.com/erlisR/robustBLME/issues

License: GPL-2

URL: https://github.com/erlisR/robustBLME

NeedsCompilation: yes

Citation: robustBLME citation info

Materials: README

In views: MixedModels

CRAN checks: robustBLME results

Documentation:

Reference manual: robustBLME.html , robustBLME.pdf

Downloads:

Package source: robustBLME_0.1.3.tar.gz

Windows binaries: r-devel: robustBLME_0.1.3.zip, r-release: robustBLME_0.1.3.zip, r-oldrel: robustBLME_0.1.3.zip

macOS binaries: r-release (arm64): robustBLME_0.1.3.tgz, r-oldrel (arm64): robustBLME_0.1.3.tgz, r-release (x86_64): robustBLME_0.1.3.tgz, r-oldrel (x86_64): robustBLME_0.1.3.tgz

Old sources: robustBLME archive

Linking:

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