NB: Naive Bayes

In targeted: Targeted Inference

Naive Bayes

Description

Naive Bayes Classifier

Usage

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(s)

Klaus K. Holst

Examples

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

targeted documentation built on May 29, 2024, 2:08 a.m.