randomForestSRC/NAMESPACE at master · brandon-mosqueda/randomForestSRC · GitHub

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useDynLib(randomForestSRC, .registration = TRUE)

importFrom("parallel", mclapply)
importFrom("purrr", "cross")
importFrom("graphics", "abline", "axis", "box", "boxplot", "bxp",
           "legend", "lines", "matlines", "matplot", "mtext", "par", "plot",
           "plot.new", "plot.window", "points", "rug", "segments",
           "strwidth", "text", "title", "grconvertX", "grconvertY", "plot.default")
importFrom("stats", "as.dist", "as.formula", "cutree", "dlnorm", "formula",
           "hclust", "lowess", "median", "model.matrix", "na.omit",
           "optim", "pgamma", "plnorm", "pnorm", "predict",
           "quantile", "qnorm", "runif", "sd", "supsmu", "var", "wilcox.test")
importFrom("utils", "installed.packages", "txtProgressBar", "setTxtProgressBar",
           "write.table", "tail")
importFrom("grDevices", "gray")
import(dplyr)
import(checkmate)

export(extract.bootsample,
       extract.quantile,
       extract.subsample,
       find.interaction,
       find.interaction.rfsrc,
       get.auc,
       get.bayes.rule,
       get.brier.error,
       get.cindex,
       get.confusion,
       get.misclass.error,
       get.mv.error,
       get.mv.error.block,
       get.mv.formula,
       get.mv.predicted,
       get.mv.vimp,
       get.quantile,
       get.quantile.crps,
       get.quantile.stat,

       holdout.vimp,
       holdout.vimp.rfsrc,
       imbalanced,
       imbalanced.rfsrc,
       impute,
       impute.rfsrc,
       max.subtree,
       max.subtree.rfsrc,
       partial,
       partial.rfsrc,
       plot.competing.risk,
       plot.competing.risk.rfsrc,
       plot.quantreg,
       plot.quantreg.rfsrc,
       plot.rfsrc,
       plot.subsample,
       plot.subsample.rfsrc,
       plot.survival,
       plot.survival.rfsrc,
       plot.variable,
       plot.variable.rfsrc,
       predict.rfsrc,
       print.rfsrc,
       quantreg,
       quantreg.rfsrc,
       rfsrc,
       rfsrc.cart,
       rfsrc.fast,
       rfsrc.news,
       synthetic.rfsrc,
       synthetic,

       subsample,
       subsample.rfsrc,
       stat.split,
       stat.split.rfsrc,
       tune,
       tune.rfsrc,
       tune.nodesize,
       tune.nodesize.rfsrc,
       var.select,
       var.select.rfsrc,
       vimp,
       vimp.rfsrc,

       zap.rfsrc,
       predict.zap.rfsrc,
       cholesky,
       mse,
       tune.zap.rfsrc,
       predict.tune.zap.rfsrc,
       cv.zap.rf)


S3method(max, subtree)
S3method(max, subtree.rfsrc)

S3method(plot, competing.risk)
S3method(plot, competing.risk.rfsrc)
S3method(plot, quantreg)
S3method(plot, quantreg.rfsrc)
S3method(plot, rfsrc)
S3method(plot, subsample)
S3method(plot, subsample.rfsrc)
S3method(plot, survival)
S3method(plot, survival.rfsrc)
S3method(plot, variable)
S3method(plot, variable.rfsrc)

S3method(predict, rfsrc)

S3method(print, rfsrc)