result_diet_1000iters

<p>This is a "ddtlcm" object obtained from running <code>ddtlcm_fit</code> to a semi-synthetic dataset with
1000 posterior samples (for the sake of time). See <code>ddtlcm_fit</code> for description of
the object.</p>

datasets

Implements a Bayesian algorithm for overcoming weak separation in Bayesian latent class analysis.
Reference: Li et al. (2023) <arXiv:2306.04700>.

Mengbing Li

ddtlcm

Latent Class Analysis with Dirichlet Diffusion Tree Process
Prior

Briana Stephenson

Zhenke Wu

result_diet_1000iters function

Format

Result of fitting DDT-LCM to a semi-synthetic data example — result_diet_1000iters

Result of fitting DDT-LCM to a semi-synthetic data example

result_diet_1000iters: Result of fitting DDT-LCM to a semi-synthetic data example

Description

Usage

Arguments

Format