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import("partykit", "graphics")
importFrom("e1071",
"classAgreement")
importFrom("MASS",
"mvrnorm")
importFrom("grDevices",
"gray.colors", "n2mfrow")
importFrom("methods",
"formalArgs", "new")
importFrom("stats",
"cor", "formula", "na.exclude", "plogis", "quantile", "rbinom",
"toeplitz", "var", "getCall", "model.frame", "na.omit", "terms",
"update", "predict", "as.formula", "terms.formula")
importFrom("parallel",
"mclapply")
importFrom("randomForest",
"getTree")
importFrom("ranger",
"treeInfo")
importClassesFrom("party", "RandomForest")
export(
## stability assessment
"stabletree",
"stability",
"stab_control",
"accuracy",
"tuner",
## adding new learners
"addLearner",
"getLearner",
"LearnerList",
## utiltiy functions
"similarity_values",
## data-generating function
"dgp_twoclass",
## similarity and dissimilarity measures
"clagree", "ckappa", "bdist", "tvdist", "hdist", "jsdiv",
"edist", "msdist", "rmsdist", "madist", "qadist", "cprob", "ccc", "pcc", "cosine", "rbfkernel", "tanimoto",
## sampler convenience functions
"bootstrap",
"subsampling",
"samplesplitting",
"jackknife",
"splithalf",
## stabletree coercion generic
"as.stabletree"
)
S3method("getCall", "cforest")
S3method("barplot", "stabletree")
S3method("image", "stabletree")
S3method("plot", "stabletree")
S3method("print", "stabletree")
S3method("summary", "stabletree")
S3method("print", "summary.stabletree")
S3method("print", "stablelearner")
S3method("summary", "stablelearner")
S3method("boxplot", "stablelearner")
S3method("print", "stablelearnerList")
S3method("summary", "stablelearnerList")
S3method("print", "summary.stablelearnerList")
S3method("boxplot", "stablelearnerList")
S3method("as.stabletree", "randomForest")
S3method("as.stabletree", "RandomForest")
S3method("as.stabletree", "cforest")
S3method("as.stabletree", "ranger")
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