Linear Discriminant Analysis Model
Performs linear discriminant analysis.
LDAModel(
prior = NULL,
tol = 1e-04,
method = c("moment", "mle", "mve", "t"),
nu = 5,
dimen = NULL,
use = c("plug-in", "debiased", "predictive")
)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 |
dimen |
dimension of the space to use for prediction. |
use |
type of parameter estimation to use for prediction. |
factor
dimen
The predict function for this model additionally accepts the
following argument.
priorprior 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 = LDAModel)
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