count_variables |
count the number of times each variable is used in a ranger random forest |
determine.C |
determine.C |
determine_cutoff |
evaluate a measure that can be used to determining a significance level for the Mean Decrease in Impurity measure returned by a Random Forest model |
dsn |
my.dsn |
f.fit |
fit a spline to the histogram of imp |
fit.to.data.set |
fit.to.data.set |
fit.to.data.set.wrapper |
fit.to.data.set.wrapper |
imp20000 |
20000 importance values |
local.fdr |
local fdr |
my.dsn |
my.dsn |
my.test1fun |
my.test1fun |
my_PIMP |
my_PIMP based on the PIMP function from the vita package. <e2><80><98>PIMP<e2><80><99> implements the test approach of Altmann et al. (2010) for the permutation variable importance measure <e2><80><98>VarImp<e2><80><99> returned by the randomForest package (Liaw and Wiener (2002)) for classification and regression. |
my_ranger_PIMP |
my_ranger_PIMP based on the PIMP function from the vita package. <e2><80><98>PIMP<e2><80><99> implements the test approach of Altmann et al. (2010) for the permutation variable importance measure <e2><80><98>VarImp<e2><80><99> returned by the randomForest package (Liaw and Wiener (2002)) for classification and regression. |
plotQ |
plotQ |
propTrueNullByLocalFDR |
propTrueNullByLocalFDR |
psn |
my.dsn |
qsn |
my.dsn |
run.it.importances |
run.it.importances |
significant.genes |
significant.genes |