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ddtlcm  

Latent Class Analysis with Dirichlet Diffusion Tree Process Prior
View on CRAN: Click here


Download and install ddtlcm package within the R console
Install from CRAN:
install.packages("ddtlcm")

Install from Github:
library("remotes")
install_github("cran/ddtlcm")

Install by package version:
library("remotes")
install_version("ddtlcm", "0.2.1")



Attach the package and use:
library("ddtlcm")
Maintained by
Mengbing Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-14
Latest Update: 2024-04-04
Description:
Implements a Bayesian algorithm for overcoming weak separation in Bayesian latent class analysis. Reference: Li et al. (2023) .
How to cite:
Mengbing Li (2023). ddtlcm: Latent Class Analysis with Dirichlet Diffusion Tree Process Prior. R package version 0.2.1, https://cran.r-project.org/web/packages/ddtlcm. Accessed 05 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:31), 0.1.1 (2023-09-14 21:10)
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Complete documentation for ddtlcm
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