Summary Method for Discriminant Analysis Models

DESCRIPTION:

Returns a summary of the discriminant analysis models stored in a fit.models object with virtual class discfm.

USAGE:

summary.discfm(object, MC=F, n.MC=1000, ...)

REQUIRED ARGUMENTS:

object
a fit.models object with virtual class discfm that contains the fitted models.

OPTIONAL ARGUMENTS:

MC
if TRUE, a Monte Carlo simulation is conducted to determine the ability of the discriminant function to allocate new observations to the corresponding groups.
n.MC
the number of observations used in the Monte Carlo simulation.

VALUE:

a summary.discfm object with the following components:
mod.names
the names of the models in object.
calls
a list containing the call of each model in object.
rule.MC
ask Matias
classify
ask Matias
distances
ask Matias
discrim
ask Matias

SEE ALSO:

, , , .

EXAMPLES:

disc.mle <- discrim(Group ~ ., data = hemo.cont, family = Classical("heter"))
disc.rob <- discRob(Group ~ ., data = hemo.cont, family = Classical("heter"))
disc.fm <- fit.models(disc.rob, disc.mle)
summary(disc.fm)