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Functions providing an easy and intuitive way for fitting and clusters data using the Mixture of Unigrams models by means the Expectation-Maximization algorithm (Nigam, K. et al. (2000). <doi:10.1023/A:1007692713085>), Mixture of Dirichlet-Multinomials estimated by Gradient Descent (Anderlucci, Viroli (2020) <doi:10.1007/s11634-020-00399-3>) and Deep Mixture of Multinomials whose estimates are obtained with Gibbs sampling scheme (Viroli, Anderlucci (2020) <doi:10.1007/s11222-020-09989-9>). There are also functions for graphical representation of clusters obtained.
| Version: | 0.1.1 |
| Depends: | R (≥ 3.5.0) |
| Imports: | skmeans, extraDistr, dplyr, Rfast, entropy, ggplot2, graphics, MASS |
| Published: | 2021-03-04 |
| Author: | Martin D'Ippolito [aut, cre], Anderlucci Laura [aut], Cinzia Viroli [aut] |
| Maintainer: | Martin D'Ippolito <martinmy69 at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | deepMOU results |
| Reference manual: | deepMOU.pdf |
| Package source: | deepMOU_0.1.1.tar.gz |
| Windows binaries: | r-devel: deepMOU_0.1.1.zip, r-release: deepMOU_0.1.1.zip, r-oldrel: deepMOU_0.1.1.zip |
| macOS binaries: | r-release (arm64): deepMOU_0.1.1.tgz, r-oldrel (arm64): deepMOU_0.1.1.tgz, r-release (x86_64): deepMOU_0.1.1.tgz, r-oldrel (x86_64): deepMOU_0.1.1.tgz |
| Old sources: | deepMOU archive |
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These binaries (installable software) and packages are in development.
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