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lda  

Collapsed Gibbs Sampling Methods for Topic Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lda", "1.5.2")



Attach the package and use:
library("lda")
Maintained by
Santiago Olivella
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2009-09-29
Latest Update: 2024-04-27
Description:
Implements latent Dirichlet allocation (LDA) and related models. This includes (but is not limited to) sLDA, corrLDA, and the mixed-membership stochastic blockmodel. Inference for all of these models is implemented via a fast collapsed Gibbs sampler written in C. Utility functions for reading/writing data typically used in topic models, as well as tools for examining posterior distributions are also included.
How to cite:
Santiago Olivella (2009). lda: Collapsed Gibbs Sampling Methods for Topic Models. R package version 1.5.2, https://cran.r-project.org/web/packages/lda. Accessed 07 Mar. 2026.
Previous versions and publish date:
1.1 (2009-09-29 20:49), 1.2.1 (2010-07-03 18:19), 1.2.2 (2010-10-18 21:10), 1.2.3 (2010-10-25 09:01), 1.2 (2010-03-08 11:29), 1.3.1 (2011-11-03 12:48), 1.3.2 (2012-10-14 08:49), 1.3 (2011-10-27 07:47), 1.4.2 (2015-11-22 11:48)
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