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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 |
Reference manual: | robustBLME.pdf |
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 |
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These binaries (installable software) and packages are in development.
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