LDAModel: Linear Discriminant Analysis Model

In brian-j-smith/MachineShop: Machine Learning Models and Tools

Linear Discriminant Analysis Model

Description

Performs linear discriminant analysis.

Usage

LDAModel(
  prior = numeric(),
  tol = 1e-04,
  method = c("moment", "mle", "mve", "t"),
  nu = 5,
  dimen = integer(),
  use = c("plug-in", "debiased", "predictive")
)

Arguments

prior	prior probabilities of class membership if specified or the class proportions in the training set otherwise.
tol	tolerance for the determination of singular matrices.
method	type of mean and variance estimator.
nu	degrees of freedom for method = "t".
dimen	dimension of the space to use for prediction.
use	type of parameter estimation to use for prediction.

Details

Response types:

factor

Automatic tuning of grid parameter:

dimen

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 argument values and further model details can be found in the source See Also links below.

Value

MLModel class object.

See Also

lda, predict.lda, fit, resample

Examples

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

brian-j-smith/MachineShop documentation built on Sept. 22, 2023, 10:01 p.m.