R Under development (unstable) (2024-07-17 r86903 ucrt) -- "Unsuffered Consequences" Copyright (C) 2024 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > > set.seed(290875) > library("party") Loading required package: grid Loading required package: mvtnorm Loading required package: modeltools Loading required package: stats4 Loading required package: strucchange Loading required package: zoo Attaching package: 'zoo' The following objects are masked from 'package:base': as.Date, as.Date.numeric Loading required package: sandwich > if (!require("TH.data")) + stop("cannot load package TH.data") Loading required package: TH.data Loading required package: survival Loading required package: MASS Attaching package: 'TH.data' The following object is masked from 'package:MASS': geyser > if (!require("coin")) + stop("cannot load package coin") Loading required package: coin > > ### get rid of the NAMESPACE > attach(list2env(as.list(asNamespace("party")))) The following objects are masked from package:party: cforest, cforest_classical, cforest_control, cforest_unbiased, conditionalTree, ctree, ctree_control, edge_simple, initVariableFrame, mob, mob_control, node_barplot, node_bivplot, node_boxplot, node_density, node_hist, node_inner, node_scatterplot, node_surv, node_terminal, nodes, party_intern, prettytree, proximity, ptrafo, response, reweight, sctest.mob, treeresponse, varimp, varimpAUC, where > > data(treepipit, package = "coin") > ct <- ctree(counts ~ ., data = treepipit) > stopifnot(isequal(predict(ct), predict(ct, newdata = treepipit))) > > > data(GlaucomaM, package = "TH.data") > ct <- ctree(Class ~ ., data = GlaucomaM) > stopifnot(isequal(predict(ct), predict(ct, newdata = GlaucomaM))) > stopifnot(isequal(predict(ct, type = "prob"), predict(ct, type = "prob", + newdata = GlaucomaM))) > stopifnot(isequal(predict(ct, type = "node"), predict(ct, type = "node", + newdata = GlaucomaM))) > stopifnot(isequal(predict(ct, type = "prob"), treeresponse(ct))) > > data("GBSG2", package = "TH.data") > > GBSG2tree <- ctree(Surv(time, cens) ~ ., data = GBSG2) > stopifnot(isequal(GBSG2tree@predict_response(), + GBSG2tree@predict_response(newdata = GBSG2))) > stopifnot(isequal(GBSG2tree@cond_distr_response(), + GBSG2tree@cond_distr_response(newdata = GBSG2))) > > data("mammoexp", package = "TH.data") > attr(mammoexp$ME, "scores") <- 1:3 > attr(mammoexp$SYMPT, "scores") <- 1:4 > attr(mammoexp$DECT, "scores") <- 1:3 > names(mammoexp)[names(mammoexp) == "SYMPT"] <- "symptoms" > names(mammoexp)[names(mammoexp) == "PB"] <- "benefit" > > names(mammoexp) [1] "ME" "symptoms" "benefit" "HIST" "BSE" "DECT" > mtree <- ctree(ME ~ ., data = mammoexp) > stopifnot(isequal(predict(mtree), predict(mtree, newdata = mammoexp))) > stopifnot(isequal(predict(mtree), predict(mtree, newdata = mammoexp))) > > proc.time() user system elapsed 2.79 0.39 3.18