WaicCompare {NetworkChange} | R Documentation |
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
[Package NetworkChange version 0.8 Index]