topicmodels
Topic Models
Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and co-authors and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan and co-authors.
- Version0.2-17
- R versionunknown
- LicenseGPL-2
- Needs compilation?Yes
- topicmodels citation info
- Last release08/14/2024
Documentation
Team
Bettina Grün
MaintainerShow author detailsKurt Hornik
Makoto Matsumoto
Show author detailsRolesContributor, Copyright holderTakuji Nishimura
Show author detailsRolesContributor, Copyright holderDavid M Blei
Show author detailsRolesContributor, Copyright holderJohn D Lafferty
Show author detailsRolesContributor, Copyright holderXuan-Hieu Phan
Show author detailsRolesContributor, Copyright holderShawn Cokus
Show author detailsRolesContributor
Insights
Last 30 days
This package has been downloaded 13,490 times in the last 30 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 385 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 141,600 times in the last 365 days. This is the kind of download count that makes grant committees nod approvingly. A job well done, even the stoic reviewers might be impressed! The day with the most downloads was May 24, 2024 with 1,349 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports3 packages
- Suggests4 packages
- Reverse Imports14 packages
- Reverse Suggests10 packages
- Reverse Enhances1 package