WAIC: Compute WAIC
In ddtlcm: Latent Class Analysis with Dirichlet Diffusion Tree Process Prior
WAIC R Documentation
Compute WAIC
Description
Compute the Widely Applicable Information Criterion (WAIC), also known
as the Widely Available Information Criterion or the Watanable-Akaike, of Watanabe (2010).
Usage
WAIC(llk_matrix)
Arguments
llk_matrix
a N x S matrix, where N is the number of individuals and S is the number of posterior samples
Value
a named list
ddtlcm documentation built on May 29, 2024, 5:41 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| WAIC | R Documentation |
Compute WAIC
Description
Compute the Widely Applicable Information Criterion (WAIC), also known as the Widely Available Information Criterion or the Watanable-Akaike, of Watanabe (2010).
Usage
WAIC(llk_matrix)
Arguments
llk_matrix |
a N x S matrix, where N is the number of individuals and S is the number of posterior samples |
Value
a named list
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.