vimp.covregrf {CovRegRF} | R Documentation |
Variable importance for covregrf objects
Description
Calculates variable importance measures (VIMP) for covariates for training data.
Usage
## S3 method for class 'covregrf'
vimp(object, ...)
Arguments
object |
An object of class (covregrf, grow). |
... |
Optional arguments to be passed to other methods. |
Value
An object of class (covregrf, vimp)
which is a list with the
following component:
importance |
Variable importance measures (VIMP) for covariates. |
See Also
Examples
options(rf.cores=2, mc.cores=2)
## load generated example data
data(data, package = "CovRegRF")
xvar.names <- colnames(data$X)
yvar.names <- colnames(data$Y)
data1 <- data.frame(data$X, data$Y)
## define train/test split
set.seed(2345)
smp <- sample(1:nrow(data1), size = round(nrow(data1)*0.6), replace = FALSE)
traindata <- data1[smp,,drop=FALSE]
testdata <- data1[-smp, xvar.names, drop=FALSE]
## formula object
formula <- as.formula(paste(paste(yvar.names, collapse="+"), ".", sep=" ~ "))
## train covregrf
covregrf.obj <- covregrf(formula, traindata, params.rfsrc = list(ntree = 50),
importance = TRUE)
## get the variable importance measures
vimp <- covregrf.obj$importance
vimp2 <- vimp(covregrf.obj)$importance
[Package CovRegRF version 2.0.1 Index]