runDynamic: Visualize Causal Tree and Treatment Effects via Shiny

In htetree: Causal Inference with Tree-Based Machine Learning Algorithms

Visualize Causal Tree and Treatment Effects via Shiny

Description

Visualize Causal Tree and Treatment Effects via Shiny

Usage

runDynamic(
  model,
  data,
  outcomevariable,
  treatment_indicator,
  propensity_score = ""
)

Arguments

model	a tree model constructed by hte_causalTree, hte_matchinleaves, or hte_ipw.
data	a data frame containing the variables in the model.
outcomevariable	a character representing the column name of the outcome variable.
treatment_indicator	a character representing the column name for the treatment variable in the causal setup.
propensity_score	a character representing the column name of the propensity score.

Value

a Shiny page.

htetree documentation built on April 4, 2025, 5:15 a.m.