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) .


This is an R implementation of the method proposed by Ruli et al. (2017). It gives routines for Bayesian robust fitting of linear mixed effects models though weighted likelihood equations and approximate Bayesian computation.

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install.packages("robustBLME")

0.1.3 by Erlis Ruli, a year ago


https://github.com/erlisR/robustBLME


Report a bug at https://github.com/erlisR/robustBLME/issues


Browse source code at https://github.com/cran/robustBLME


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


Documentation:   PDF Manual  


GPL-2 license


Imports Rcpp, numDeriv, mvtnorm, utils, parallel, doParallel, foreach, iterators, stats

Depends on lme4

Suggests devtools

Linking to Rcpp, RcppArmadillo


See at CRAN