Naive Bayes

Source: R/NB.R

Naive Bayes Classifier

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

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

Value

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

Author

Klaus K. Holst

Examples

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