QDAModel {MachineShop} | R Documentation |
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 |
use |
type of parameter estimation to use for prediction. |
factor
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.
qda
, predict.qda
,
fit
, resample
fit(Species ~ ., data = iris, model = QDAModel)