simvar

desired number of points (will not always be achieved)

grid simulation method. See details.

method

Given a vector of data this function will simulate
data that could have come from that vector.

datagen

Given $p$-dimensional training data containing $d$ groups
(the design space), a classification algorithm (classifier) predicts
which group new data belongs to.  Generally the input to these
algorithms is high dimensional, and the boundaries between groups will
be high dimensional and perhaps curvilinear or multi-faceted. This
package implements methods for understanding the division of space
between the groups.

simvar: Simulate observations from a vector

Description

Usage

Arguments

Details