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>).

Model Wrappers for Discriminant Analysis

package-ubuntu-20.04-r-4.0.5#cran#discrim-0.1.1

<p>These data were simulated. There are two correlated predictors and
two classes in the factor outcome.
</p>

<table summary="R valueblock"><tr valign="top">
<td><code>parabolic</code></td>
<td>
<p>a data frame</p>
</td>
</tr></table>

data(parabolic)

library(ggplot2)
ggplot(parabolic, aes(x = X1, y = X2, col = class)) +
 geom_point(alpha = .5) +
 theme_bw()

package-ubuntu-20.04-r-4.0.5#cran#discrim-0.1.1#docs#parabolic

parabolic

Description

Details

Value

Examples

discrim

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