Prediction with Cauchy naive Bayes classifier {mvcauchy} | R Documentation |
Prediction with Cauchy naive Bayes classifier
Description
Prediction with Cauchy naive Bayes classifier.
Usage
cauchynb.pred(xnew, location, scale, ni)
Arguments
xnew |
A numerical matrix with new predictor variables whose group is to be predicted. |
location |
A matrix with the group location parameters of the Cauchy distribution. Each row corresponds to a group. |
scale |
A matrix with the group scale parameters of the Cauchy distribution. Each row corresponds to a group. |
ni |
A vector with the frequencies of each group. |
Value
A numerical vector with 1, 2, ... denoting the predicted group.
Author(s)
Michail Tsagris.
R implementation and documentation: Michail Tsagris mtsagris@uoc.gr.
References
Friedman J., Hastie T. and Tibshirani R. (2017). The elements of statistical learning. New York: Springer.
See Also
Examples
x <- as.matrix(iris[, 1:4])
ina <- as.numeric(iris[, 5])
a <- mvcauchy::cauchy.nb(x, x, ina = ina)
est <- mvcauchy::cauchynb.pred(x, a$location, a$scale, a$ni)
table(ina, est)
[Package mvcauchy version 1.1 Index]