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)
    <doi:10.1073/pnas.1921562117>. 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
Imports: stats, graphics
RoxygenNote: 7.2.3
Suggests: randomForest, knitr, rmarkdown
LazyData: true
Depends: R (>= 3.5)
NeedsCompilation: yes
Packaged: 2023-11-21 20:55:53 UTC; naras
Author: Jerome Friedman [aut, cph],
  Balasubramanian Narasimhan [aut, cre]
Maintainer: Balasubramanian Narasimhan <naras@stanford.edu>
Repository: CRAN
Date/Publication: 2023-11-22 09:20:12 UTC
Built: R 4.5.1; aarch64-apple-darwin25.0.0; 2025-10-03 18:40:41 UTC; unix
