MachineShop: QDAModel – R documentation

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QDAModel

Quadratic Discriminant Analysis Model

Performs quadratic discriminant analysis.

QDAModel(
  prior = NULL,
  method = c("moment", "mle", "mve", "t"),
  nu = 5,
  use = c("plug-in", "predictive", "debiased", "looCV")
)

`prior`	prior probabilities of class membership if specified or the class proportions in the training set otherwise.
`method`	type of mean and variance estimator.
`nu`	degrees of freedom for `method = "t"`.
`use`	type of parameter estimation to use for prediction.

The predict function for this model additionally accepts the following argument.

prior: prior class membership probabilities for prediction data if different from the training set.

Default values for the NULL arguments and further model details can be found in the source links below.

MLModel class object.

fit(Species ~ ., data = iris, model = QDAModel)

Machine Learning Models and Tools

v2.8.0

GPL-3

Authors

Brian J Smith [aut, cre]

Initial release

2021-04-16