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robustBLME

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')

Monthly Downloads

169

Version

0.1.3

License

GPL-2

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Maintainer

Erlis Ruli

Last Published

January 30th, 2018

Functions in robustBLME (0.1.3)

kdeFSBT

Full Significance Bayesian Testing
ergoStool

Ergometrics experiment with stool types
hpd

Empirical Highest Posterior Density Interval
tune.h

Tune ABC distance bandwidth
rblme

Fits robust Bayesian Linear Mixed-effects Models (LMM) to data via robust REML estimating functions.