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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: 2018-01-30
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.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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.