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) <arXiv:1706.01752>.

Version: 0.1.2
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: 2017-06-08
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
CRAN checks: robustBLME results

Downloads:

Reference manual: robustBLME.pdf
Package source: robustBLME_0.1.2.tar.gz
Windows binaries: r-devel: robustBLME_0.1.2.zip, r-release: robustBLME_0.1.2.zip, r-oldrel: robustBLME_0.1.2.zip
OS X El Capitan binaries: r-release: robustBLME_0.1.2.tgz
OS X Mavericks binaries: r-oldrel: robustBLME_0.1.2.tgz

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