varimp.pmforest | R Documentation |
See varimp.cforest
.
## S3 method for class 'pmforest'
varimp(
object,
nperm = 1L,
OOB = TRUE,
risk = function(x, ...) -objfun(x, sum = TRUE, ...),
conditional = FALSE,
threshold = 0.2,
...
)
object |
DESCRIPTION. |
nperm |
the number of permutations performed. |
OOB |
a logical determining whether the importance is computed from the out-of-bag sample or the learning sample (not suggested). |
risk |
the risk to be evaluated. By default the objective function (e.g. log-Likelihood) is used. |
conditional |
a logical determining whether unconditional or conditional computation of the importance is performed. |
threshold |
the value of the test statistic or 1 - p-value of the association between the variable of interest and a covariate that must be exceeded inorder to include the covariate in the conditioning scheme for the variable of interest (only relevant if conditional = TRUE). |
... |
passed on to |
A vector of 'mean decrease in accuracy' importance scores.
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