get_lpml_waic_scores {BMRMM} | R Documentation |
Provides the LPML (Geisser and Eddy, 1979) and WAIC (Watanabe, 2010) scores of the Bayesian Markov renewal mixture models
get_lpml_waic_scores(results)
results |
results of duration times, i.e., results$results_duration |
The two scores can be used to compare different choices of isi_num_comp, i.e., the number of the mixture gamma components. Larger values of LPML and smaller values of WAIC indicate better model fits.
No return value, called for printing LPML and WAIC scores for gamma mixture models.
Geisser, S. and Eddy, W. F. (1979). A predictive approach to model selection. Journal of the American Statistical Association, 74, 153–160.
Watanabe, S. (2010). Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory. Journal of Machine Learning Research, 11, 3571–3594.
results <- BMRMM(foxp2_sm,num_cov=2,simsize=50) get_lpml_waic_scores(results$results_duration)