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conTree  

Contrast Trees and Boosting
View on CRAN: Click here


Download and install conTree package within the R console
Install from CRAN:
install.packages("conTree")

Install from Github:
library("remotes")
install_github("cran/conTree")

Install by package version:
library("remotes")
install_version("conTree", "0.3-1")



Attach the package and use:
library("conTree")
Maintained by
Balasubramanian Narasimhan
[Scholar Profile | Author Map]
First Published: 2023-06-07
Latest Update: 2023-11-22
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.
How to cite:
Balasubramanian Narasimhan (2023). conTree: Contrast Trees and Boosting. R package version 0.3-1, https://cran.r-project.org/web/packages/conTree. Accessed 29 Mar. 2025.
Previous versions and publish date:
0.3 (2023-06-07 15:20)
Other packages that cited conTree R package
View conTree citation profile
Other R packages that conTree depends, imports, suggests or enhances
Complete documentation for conTree
Functions, R codes and Examples using the conTree R package
Some associated functions: Fortran_details . age_data . air_quality . census . conTree-package . contrast . getnodes . lofcurve . nodesum . predtrast . prune . prune.seq . save_rfun . treesum . xval . ydist . 
Some associated R codes: contrast.R . contree-package.R . data.R . params.R . save_rfun.R .  Full conTree package functions and examples
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