r-robustblme
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>.
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>.
| Name | Type | Version | Platform | Labels | Updated | Size | Downloads | Actions |
|---|
win-64/r-robustblme-0.1.3-r36h796a38f_0.tar.bz2 | conda | 0.1.3 | win-64 | main | Dec 9, 2019, 08:24 PM | 198.43 KB | 1 | |
osx-64/r-robustblme-0.1.3-r36h466af19_0.tar.bz2 | conda | 0.1.3 | osx-64 | main | Dec 9, 2019, 08:18 PM | 208.02 KB | 1 | |
linux-64/r-robustblme-0.1.3-r36h29659fb_0.tar.bz2 | conda | 0.1.3 | linux-64 | main | Dec 9, 2019, 08:12 PM | 204.74 KB | 1 |