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htetree (version 0.1.18)

Causal Inference with Tree-Based Machine Learning Algorithms

Description

Estimating heterogeneous treatment effects with tree-based machine learning algorithms and visualizing estimated results in flexible and presentation-ready ways. For more information, see Brand, Xu, Koch, and Geraldo (2021) . Our current package first started as a fork of the 'causalTree' package on 'GitHub' and we greatly appreciate the authors for their extremely useful and free package.

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Version

Install

install.packages('htetree')

Monthly Downloads

368

Version

0.1.18

License

GPL-2 | GPL-3

Maintainer

Jiahui Xu

Last Published

November 29th, 2023

Functions in htetree (0.1.18)

honest.rparttree

Honest recursive partitioning Tree
formatg

Intermediate function for causalTree
makeplots

Visualize Causal Tree and the Estimated Results
runDynamic

Visualize Causal Tree and Treatment Effects via Shiny
saveUI

Save Shiny UI Temporarily
model.frame.causalTree

Intermediate function for causalTree
na.causalTree

Intermediate function for causalTree
saveServ

Save Shiny Server Temporarily
matchinleaves

NN Matching in Leaves
plotOutcomes

Intermediate function for hte_plot_line
getDefaultPath

Get the Current Working Directory
hte_plot

Visualize the Estimated Results
hte_plot_line

Visualize the Estimated Results
hte_forest

Estimate Heterogeneous Treatment Effect via Random Forest
honest.causalTree

Causal Effect Regression and Estimation Trees: One-step honest estimation
saveBCSS

Save Javascript Embedded in Shiny App
getDensities

Getting Distribution in Treatment and Control Groups
saveFiles

Save Necessary Files to Run Shiny App
honest.est.causalTree

honest re-estimation and change the frame of object using estimation sample
saveGCSS

Save CSS File Embedded in Shiny App
hte_match

Estimate Heterogeneous Treatment Effect via Adjusted Causal Tree
hte_ipw

Estimate Heterogeneous Treatment Effect via Adjusted Causal Tree
saveInd

Save HTML Index Embedded in Shiny App
importance

Caclulate variable importance
simulation.1

A Simulated Dataset
htetree.anova

Intermediate function for causalTree
init.causalForest

Causal Effect Regression and Estimation Forests (Tree Ensembles)
bundScript

Include the Javascript Used in Shiny
causalTree

Causal Effect Regression and Estimation Trees
causalTree.branch

Compute the "branches" to be drawn for an causalTree object
causalTreeco

Intermediate function for causalTree
causalTree.matrix

Intermediate function for causalTree
causalTree.control

Intermediate function for causalTree
causalTreecallback

Intermediate function for causalTree
hte_causalTree

Estimate Heterogeneous Treatment Effect via Causal Tree
clearTemp

Clear Temporary Files
honest.est.rparttree

honest re-estimation and change the frame of object using estimation sample
est.causalTree

Intermediate function for causalTree
estimate.causalTree

estimate causal Tree