Bayesian LDA for Mixed-Membership Clustering Analysis
Overview
Estimates the Bayesian LDA model for mixed-membership clustering based on different types of data (i.e., Multinomial, Bernoulli, and Binomial entries). Albuquerque, Valle and Li (2019) doi:10.1016/j.knosys.2018.10.024.
- Correct the registration bug
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Documentation
- Help pages
- 25
- Examples that run
- 28%7 run in a plain check · 18 never run
- Exported functions with examples
- 100%
- Documented parameters
- 100%
- Return-value docs
- 54%
- Help pages citing references
- 28%
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Dependencies
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People & History
Maintainer since 0.1.0 (2017)
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- RR 4.3.0 released · 2023-04-21
- archivedRemoved from CRAN2022-12-05issues were not corrected despite reminders
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 0.2.62018-12-13 · diff ↗
- unarchivedReturned to CRAN2018-07-13
- 0.2.52018-07-13 · diff ↗
- archivedRemoved from CRAN2018-06-02check problems were not corrected despite reminders
- RR 3.5.0 released · 2018-04-23
- 0.2.42018-03-06 · diff ↗
- 0.2.3
- 0.2.22017-08-08 · diff ↗ ·
added 4 exports
generateBinomialLDA.rlda, generateBernoulliLDA.rlda, generateMultinomialLDA.rlda, rlda2mcmc.rlda - 0.2.12017-07-19 · diff ↗ ·
removed 3 exports
plot.rlda, predict.rlda, summary.rldaadded 2 exports
getTheta.rlda, getPhi.rlda - 0.2.0
Package metadata
- First published
- 2017-03-16
- Total releases
- 9 / 9 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 2.10
- Bundled data
- 499 KB / 7 files
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