Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

WaicCompare

Compare WAIC


Description

Compare Widely Applicable Information Criterion

Usage

WaicCompare(outlist)

Arguments

outlist

List of NetworkChange objects

Value

Results of WAIC computation

A matrix of log marginal likelihoods.

References

Sumio Watanabe. 2010. "Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory." Journal of Machine Learning Research. 11: 3571-3594.

Andrew Gelman, Jessica Hwang, and Aki Vehtari. 2014. "Understanding predictive information criteria for Bayesian models." Statistics and Computing. 24(6):997-1016.

Jong Hee Park and Yunkyun Sohn. 2020. "Detecting Structural Change in Longitudinal Network Data." Bayesian Analysis. Vol.15, No.1, pp.133-157.

See Also


NetworkChange

Bayesian Package for Network Changepoint Analysis

v0.7
GPL-3
Authors
Jong Hee Park [aut,cre], Yunkyu Sohn [aut]
Initial release
2020-07-09 14:17:31 UTC

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.