initialize_poLCA

Estimate an initial response profile from latent class model using poLCA()

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

initialize_poLCA function

<dl><dt>K</dt>
<dd>number of latent classes</dd>
<dt>data</dt>
<dd>a N by J observed binary matrix, where the i,j-th element is the response
of item j for individual i</dd>
<dt>...</dt>
<dd>optional arguments for the poLCA function</dd></dl>

Arguments

Estimate an initial response profile from latent class model using poLCA() — initialize_poLCA

<dl>

<dt>K</dt>
<dd>number of latent classes</dd>


<dt>data</dt>
<dd>a N by J observed binary matrix, where the i,j-th element is the response
of item j for individual i</dd>


<dt>...</dt>
<dd>optional arguments for the poLCA function</dd>

</dl>

initialize_poLCA: Estimate an initial response profile from latent class model using poLCA()

Description

Usage

Value

Arguments

See Also