RFCCA (version 2.0.0)

vimp.rfcca: Variable importance for rfcca objects

Description

Calculates variable importance measures (VIMP) for subject-related z-variables for training data.

Usage

# S3 method for rfcca
vimp(object, ...)

Value

An object of class (rfcca,predict) which is a list with the following components:

call

The original grow call to rfcca.

n

Sample size of the data (NA's are omitted).

ntree

Number of trees grown.

zvar

Data frame of z-variables.

zvar.names

A character vector of the z-variable names.

predicted.oob

OOB predicted canonical correlations for training observations based on the selected final canonical correlation estimation method.

finalcca

The selected CCA used for final canonical correlation estimations.

importance

Variable importance measures (VIMP) for each z-variable.

Arguments

object

An object of class (rfcca,grow).

...

Optional arguments to be passed to other methods.

See Also

plot.vimp.rfcca

Examples

# \donttest{
## load generated example data
data(data, package = "RFCCA")
set.seed(2345)

## train rfcca
rfcca.obj <- rfcca(X = data$X, Y = data$Y, Z = data$Z, ntree = 100)

## get variable importance measures
vimp.obj <- vimp(rfcca.obj)
vimp.z <- vimp.obj$importance
# }