Package: htetree 0.1.20

htetree: Causal Inference with Tree-Based Machine Learning Algorithms

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) <doi:10.1177/0081175021993503>. 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.

Authors:Jiahui Xu [cre, aut], Tanvi Shinkre [aut], Jennie Brand [aut]

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htetree.pdf |htetree.html✨
htetree/json (API)

# Install 'htetree' in R:

install.packages('htetree', repos = c('https://jiahuixu1.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

simulation.1 - A Simulated Dataset

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 8 scripts 472 downloads 40 exports 60 dependencies

Last updated 2 months agofrom:f86f242c9a. Checks:11 OK. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Feb 13 2025
R-4.5-win-x86_64	OK	Feb 13 2025
R-4.5-mac-x86_64	OK	Feb 13 2025
R-4.5-mac-aarch64	OK	Feb 13 2025
R-4.5-linux-x86_64	OK	Feb 13 2025
R-4.4-win-x86_64	OK	Feb 13 2025
R-4.4-mac-x86_64	OK	Feb 13 2025
R-4.4-mac-aarch64	OK	Feb 13 2025
R-4.3-win-x86_64	OK	Feb 13 2025
R-4.3-mac-x86_64	OK	Feb 13 2025
R-4.3-mac-aarch64	OK	Feb 13 2025

Exports:bundScript causalForest causalTree causalTree.branch causalTree.control causalTree.matrix causalTreecallback causalTreeco clearTemp est.causalTree estimate.causalTree formatg getDefaultPath getDensities honest.causalTree honest.est.causalTree honest.est.rparttree honest.rparttree hte_causalTree hte_forest hte_ipw hte_match hte_plot hte_plot_line htetree.anova importance init.causalForest makeplots matchinleaves model.frame.causalTree na.causalTree plotOutcomes predict.causalForest runDynamic saveBCSS saveFiles saveGCSS saveInd saveServ saveUI

Dependencies:base64enc bslib cachem cli commonmark crayon data.tree DiceKriging digest dplyr fansi fastmap fontawesome Formula fs generics glue grf htmltools httpuv inum jquerylib jsonlite later lattice libcoin lifecycle lmtest magrittr MASS Matching Matrix memoise mime mvtnorm partykit pillar pkgconfig promises R6 rappdirs Rcpp RcppEigen rlang rpart rpart.plot sandwich sass shiny sourcetools stringi stringr survival tibble tidyselect utf8 vctrs withr xtable zoo

Help page	Topics
Include the Javascript Used in Shiny	bundScript
Causal Effect Regression and Estimation Trees	causalTree
Compute the "branches" to be drawn for an 'causalTree' object	causalTree.branch
Intermediate function for 'causalTree'	causalTree.control
Intermediate function for 'causalTree'	causalTree.matrix
Intermediate function for 'causalTree'	causalTreecallback
Intermediate function for 'causalTree'	causalTreeco
Clear Temporary Files	clearTemp
Intermediate function for 'causalTree'	est.causalTree
estimate causal Tree	estimate.causalTree
Intermediate function for 'causalTree'	formatg
Get the Current Working Directory	getDefaultPath
Getting Distribution in Treatment and Control Groups	getDensities
Causal Effect Regression and Estimation Trees: One-step honest estimation	honest.causalTree
honest re-estimation and change the frame of object using estimation sample	honest.est.causalTree
honest re-estimation and change the frame of object using estimation sample	honest.est.rparttree
Honest recursive partitioning Tree	honest.rparttree
Estimate Heterogeneous Treatment Effect via Causal Tree	hte_causalTree
Estimate Heterogeneous Treatment Effect via Random Forest	hte_forest
Estimate Heterogeneous Treatment Effect via Adjusted Causal Tree	hte_ipw
Estimate Heterogeneous Treatment Effect via Adjusted Causal Tree	hte_match
Visualize the Estimated Results	hte_plot
Visualize the Estimated Results	hte_plot_line
Intermediate function for 'causalTree'	htetree.anova
Caclulate variable importance	importance
Causal Effect Regression and Estimation Forests (Tree Ensembles)	causalForest init.causalForest predict.causalForest
Visualize Causal Tree and the Estimated Results	makeplots
NN Matching in Leaves	matchinleaves
Intermediate function for 'causalTree'	model.frame.causalTree
Intermediate function for 'causalTree'	na.causalTree
Intermediate function for 'hte_plot_line'	plotOutcomes
Visualize Causal Tree and Treatment Effects via Shiny	runDynamic
Save Javascript Embedded in Shiny App	saveBCSS
Save Necessary Files to Run Shiny App	saveFiles
Save CSS File Embedded in Shiny App	saveGCSS
Save HTML Index Embedded in Shiny App	saveInd
Save Shiny Server Temporarily	saveServ
Save Shiny UI Temporarily	saveUI
A Simulated Dataset	simulation.1

Package: htetree 0.1.20

htetree: Causal Inference with Tree-Based Machine Learning Algorithms

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