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 |