R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
causalDT
View on CRAN: Click
here
Download and install causalDT package within the R console
Install from CRAN:
install.packages("causalDT")
Install from Github:
library("remotes")
install_github("cran/causalDT") Install by package version:
library("remotes")
install_version("causalDT", "1.0.1") Attach the package and use:
library("causalDT")
Maintained by
Tiffany Tang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-03
Latest Update: 2025-09-03
Description:
Causal Distillation Tree (CDT) is a novel machine learning method for estimating interpretable subgroups with heterogeneous treatment effects. CDT allows researchers to fit any machine learning model (or metalearner) to estimate heterogeneous treatment effects for each individual, and then "distills" these predicted heterogeneous treatment effects into interpretable subgroups by fitting an ordinary decision tree to predict the previously-estimated heterogeneous treatment effects. This package provides tools to estimate causal distillation trees (CDT), as detailed in Huang, Tang, and Kenney (2025) <doi:10.48550/arXiv.2502.07275>.
How to cite:
Tiffany Tang (2025). causalDT: Causal Distillation Trees. R package version 1.0.1, https://cran.r-project.org/web/packages/causalDT. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-08-28 22:00), 1.0.0 (2025-09-03 10:00)
Other packages that cited causalDT R package
View causalDT citation profile
Other R packages that causalDT depends,
imports, suggests or enhances
Complete documentation for causalDT
Functions, R codes and Examples using
the causalDT R package
Full causalDT package
functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
FDRsampsize
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Stan Pounds (view profile)
magicfor
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Koji Makiyama (view profile)
givitiR
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Giovanni Nattino (view profile)
gemlog
Reads data files from the 'Gem infrasound logger' for analysis and converts to segy format (which is ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Jake Anderson (view profile)
forecastHybrid
Convenient functions for ensemble forecasts in R combining
approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: David Shaub (view profile)
climwin
Contains functions to detect and visualise periods of climate
sensitivity (climate windows) for a g ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Liam D. Bailey (view profile)
29,080
R Packages
247,686
Dependencies
77,281
Author Associations
29,081
Publication Badges
