discrim
Model Wrappers for Discriminant Analysis
Bindings for additional classification models for use with the 'parsnip' package. Models include flavors of discriminant analysis, such as linear (Fisher (1936) doi:10.1111/j.1469-1809.1936.tb02137.x), regularized (Friedman (1989) doi:10.1080/01621459.1989.10478752), and flexible (Hastie, Tibshirani, and Buja (1994) doi:10.1080/01621459.1994.10476866), as well as naive Bayes classifiers (Hand and Yu (2007) doi:10.1111/j.1751-5823.2001.tb00465.x).
- Version1.0.1
- R versionunknown
- LicenseMIT
- LicenseLICENSE
- Needs compilation?No
- Languageen-US
- Last release03/08/2023
Documentation
Team
Emil Hvitfeldt
MaintainerShow author detailsMax Kuhn
Show author detailsRolesAuthorPosit Software, PBC
Insights
Last 30 days
This package has been downloaded 2,406 times in the last 30 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 49 times.
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Last 365 days
This package has been downloaded 22,198 times in the last 365 days. That's enough downloads to make it mildly famous in niche technical communities. A badge of honor! The day with the most downloads was Jul 21, 2024 with 216 downloads.
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Dependencies
- Depends1 package
- Imports4 packages
- Suggests17 packages
- Reverse Suggests2 packages