Description Usage Arguments Details Value See Also Examples
Performs flexible discriminant analysis.
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theta |
optional matrix of class scores, typically with number of columns less than one minus the number of classes. |
dimension |
dimension of the discriminant subspace, less than the number of classes, to use for prediction. |
eps |
numeric threshold for small singular values for excluding discriminant variables. |
method |
regression function used in optimal scaling. The default of
linear regression is provided by |
... |
additional arguments to |
lambda |
shrinkage penalty coefficient. |
df |
alternative specification of |
factor
FDAModel: nprune
, degree
*
PDAModel: lambda
* excluded from grids by default
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.
fda
, predict.fda
,
fit
, resample
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