wrapAccs.Cat: Thin wrappers to package up categorical/continuous...

In henkelstone/NPEL.Classification: Classifaction and data-handling routines for NPEL Caribou Project

Description

These functions are intended for internal use—as such no defaults are provided and there is little to no internal parameter checking. Using this function it is possible, however, to do things like recover VIMP data using a validating dataset, which is not possible using the default package functions.

Usage

wrapAccs.Cat(models, valid, func, VIMP, echo = FALSE, ...)

wrapAccs.Cont(models, valid, func, VIMP, echo = FALSE, ...)

Arguments

models	the model group to process.
valid	validation data if relevant, i.e. if func = 'validate'.
func	the function to use to evaluate accuracy: classAcc or validate.
VIMP	should we append the VIMP data.
echo	should the function print out processing messages as it runs.
...	(optional) other parameters to pass to classAcc and/or npelVIMP.

Value

a the class that modelAccs or modelValid needs.

henkelstone/NPEL.Classification documentation built on May 17, 2019, 3:42 p.m.