In this implementation of the Naive Bayes classifier following class conditional distributions are available: Bernoulli, Categorical, Gaussian, Poisson and non-parametric representation of the class conditional density estimated via Kernel Density Estimation.
| Version: | 0.9.6 |
| Suggests: | knitr |
| Published: | 2019-06-03 |
| Author: | Michal Majka |
| Maintainer: | Michal Majka <michalmajka at hotmail.com> |
| BugReports: | https://github.com/majkamichal/naivebayes/issues |
| License: | GPL-2 |
| URL: | https://github.com/majkamichal/naivebayes, https://majkamichal.github.io/naivebayes/ |
| NeedsCompilation: | no |
| Citation: | naivebayes citation info |
| Materials: | NEWS |
| In views: | MachineLearning |
| CRAN checks: | naivebayes results |
| Reference manual: | naivebayes.pdf |
| Vignettes: |
An Introduction to Naivebayes |
| Package source: | naivebayes_0.9.6.tar.gz |
| Windows binaries: | r-devel: naivebayes_0.9.6.zip, r-devel-gcc8: naivebayes_0.9.6.zip, r-release: naivebayes_0.9.6.zip, r-oldrel: naivebayes_0.9.6.zip |
| OS X binaries: | r-release: naivebayes_0.9.6.tgz, r-oldrel: naivebayes_0.9.6.tgz |
| Old sources: | naivebayes archive |
| Reverse imports: | nproc |
| Reverse suggests: | FRESA.CAD |
Please use the canonical form https://CRAN.R-project.org/package=naivebayes to link to this page.