waic_d

<p>A m x 1 vector of predictive likelihoods (NOT log-likelihoods) for y_d.</p>

like_pred

<p>The contribution to the effective number of parameters from
obs y_d.</p>

p_effd

Provides text mining methods for social science research. The
package implements estimation, inference, summarization, and goodness-of-fit
methods for topic models including Latent Dirichlet Allocation (LDA),
supervised LDA, and supervised LDA with covariates using Bayesian Markov Chain
Monte Carlo. A description of the key models and estimation methods is available
in Wilcox, Jacobucci, Zhang, & Ammerman (2021). <doi:10.31234/osf.io/62tc3>.

waic_d: WAIC for observation y_d

Description

Arguments

Value