Causal Inference with Tree-Based Machine Learning Algorithms
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘htetree’ version 0.1.18
Help Pages
| bundScript | Include the Javascript Used in Shiny |
| causalForest | Causal Effect Regression and Estimation Forests (Tree Ensembles) |
| causalTree | Causal Effect Regression and Estimation Trees |
| causalTree.branch | Compute the "branches" to be drawn for an 'causalTree' object |
| causalTree.control | Intermediate function for 'causalTree' |
| causalTree.matrix | Intermediate function for 'causalTree' |
| causalTreecallback | Intermediate function for 'causalTree' |
| causalTreeco | Intermediate function for 'causalTree' |
| clearTemp | Clear Temporary Files |
| est.causalTree | Intermediate function for 'causalTree' |
| estimate.causalTree | estimate causal Tree |
| formatg | Intermediate function for 'causalTree' |
| getDefaultPath | Get the Current Working Directory |
| getDensities | Getting Distribution in Treatment and Control Groups |
| honest.causalTree | Causal Effect Regression and Estimation Trees: One-step honest estimation |
| honest.est.causalTree | honest re-estimation and change the frame of object using estimation sample |
| honest.est.rparttree | honest re-estimation and change the frame of object using estimation sample |
| honest.rparttree | Honest recursive partitioning Tree |
| htetree.anova | Intermediate function for 'causalTree' |
| hte_causalTree | Estimate Heterogeneous Treatment Effect via Causal Tree |
| hte_forest | Estimate Heterogeneous Treatment Effect via Random Forest |
| hte_ipw | Estimate Heterogeneous Treatment Effect via Adjusted Causal Tree |
| hte_match | Estimate Heterogeneous Treatment Effect via Adjusted Causal Tree |
| hte_plot | Visualize the Estimated Results |
| hte_plot_line | Visualize the Estimated Results |
| importance | Caclulate variable importance |
| init.causalForest | Causal Effect Regression and Estimation Forests (Tree Ensembles) |
| makeplots | Visualize Causal Tree and the Estimated Results |
| matchinleaves | NN Matching in Leaves |
| model.frame.causalTree | Intermediate function for 'causalTree' |
| na.causalTree | Intermediate function for 'causalTree' |
| plotOutcomes | Intermediate function for 'hte_plot_line' |
| predict.causalForest | Causal Effect Regression and Estimation Forests (Tree Ensembles) |
| runDynamic | Visualize Causal Tree and Treatment Effects via Shiny |
| saveBCSS | Save Javascript Embedded in Shiny App |
| saveFiles | Save Necessary Files to Run Shiny App |
| saveGCSS | Save CSS File Embedded in Shiny App |
| saveInd | Save HTML Index Embedded in Shiny App |
| saveServ | Save Shiny Server Temporarily |
| saveUI | Save Shiny UI Temporarily |
| simulation.1 | A Simulated Dataset |