robustBLME: Robust Bayesian Linear Mixed-Effects Models using ABC (original) (raw)
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 |
| 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 |
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