predict.SL.lda: Prediction wrapper for SL.lda

In SuperLearner: Super Learner Prediction

Prediction wrapper for SL.lda

Description

Prediction wrapper for SL.lda

Usage

## S3 method for class 'SL.lda'
predict(object, newdata, prior = object$object$prior,
  dimen = NULL, method = "plug-in", ...)

Arguments

object	SL.lda object
newdata	Dataframe to generate predictions
prior	The prior probabilities of the classes, by default the proportions in the training set or what was set in the call to lda.
dimen	the dimension of the space to be used. If this is less than min(p, ng-1), only the first dimen discriminant components are used (except for method="predictive"), and only those dimensions are returned in x.
method	This determines how the parameter estimation is handled. With "plug-in" (the default) the usual unbiased parameter estimates are used and assumed to be correct. With "debiased" an unbiased estimator of the log posterior probabilities is used, and with "predictive" the parameter estimates are integrated out using a vague prior.
...	Unused additional arguments

See Also

SL.lda lda predict.lda

SuperLearner documentation built on May 29, 2024, 5:25 a.m.