Package: conTree Type: Package Title: Contrast Trees and Boosting Description: Contrast trees represent a new approach for assessing the accuracy of many types of machine learning estimates that are not amenable to standard (cross) validation methods; see "Contrast trees and distribution boosting", Jerome H. Friedman (2020) . In situations where inaccuracies are detected, boosted contrast trees can often improve performance. Functions are provided to to build such trees in addition to a special case, distribution boosting, an assumption free method for estimating the full probability distribution of an outcome variable given any set of joint input predictor variable values. Version: 0.3-1 VignetteBuilder: knitr Authors@R: c(person("Jerome", "Friedman", role=c("aut", "cph"), email = "jhf@stanford.edu"), person("Balasubramanian", "Narasimhan", role=c("aut", "cre"), email = "naras@stanford.edu")) License: Apache License 2.0 Encoding: UTF-8 URL: https://jhfhub.github.io/conTree_tutorial/ BugReports: https://github.com/bnaras/conTree/issues Roxygen: list(markdown = TRUE) Imports: stats, graphics RoxygenNote: 7.2.3 Suggests: randomForest, knitr, rmarkdown LazyData: true Depends: R (>= 3.5) Repository: https://bnaras.r-universe.dev Date/Publication: 2023-11-21 20:56:47 UTC RemoteUrl: https://github.com/bnaras/conTree RemoteRef: HEAD RemoteSha: 0b9340f229f76c54719c67cb4babedb79c22017f NeedsCompilation: yes Packaged: 2026-10-16 21:48:21 UTC; root Author: Jerome Friedman [aut, cph], Balasubramanian Narasimhan [aut, cre] Maintainer: Balasubramanian Narasimhan