targeted (version 0.5)

NB: Naive Bayes

Description

Naive Bayes Classifier

Usage

NB(
  formula,
  data,
  weights = NULL,
  kernel = FALSE,
  laplace.smooth = 0,
  prior = NULL,
  ...
)

Value

An object of class 'NB' is returned. See NB-class for more details about this class and its generic functions.

Arguments

formula

Formula with syntax: response ~ predictors | weights

data

data.frame

weights

optional frequency weights

kernel

If TRUE a kernel estimator is used for numeric predictors (otherwise a gaussian model is used)

laplace.smooth

Laplace smoothing

prior

optional prior probabilities (default estimated from data)

...

additional arguments to lower level functions

Author

Klaus K. Holst

Examples

data(iris)
m2 <- NB(Species ~ Sepal.Width + Petal.Length, data=iris)
pr2 <- predict(m2, newdata=iris)