Argument of: randomForest::randomForest

Number of times the OOB data are permuted per tree for assessing variable importance.  Number larger than 1 gives slightly more stable estimate, but not very effective.  Currently only implemented for regression.

Argument of: randomForest::randomForest

Should proximity measure among the rows be calculated?

Argument of: randomForest::randomForest

Should proximity be calculated only on “out-of-bag” data?

Argument of: randomForest::randomForest

If set to TRUE, give a more verbose output as randomForest is run.  If set to some integer, then running output is printed for every do.trace trees.

Argument of: randomForest::randomForest

If set to FALSE, the forest will not be retained in the output object.  If xtest is given, defaults to FALSE.

Argument of: randomForest::randomForest

Should an n by ntree matrix be returned that keeps track of which samples are “in-bag” in which trees (but not how many times, if sampling with replacement)