sidiwang/NaiveBayes: Naive Bayes Classification and Prediction
A Naive Bayes classifier that assumes independence between the feature variables. The model automatically detects the input data type and applies corresponding classification rules (categorical / numerical) to each variable. The Gaussian distribution is used with numerical values.
Getting started
Browse package contents
Package details |
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| Author | Sidi Wang |
| Maintainer | Sidi Wang <sidiwang@umich.edu> |
| License | GPL-2 |
| Version | 0.1.0 |
| URL | https://github.com/sidiwang/NaiveBayes |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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