You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Copy file name to clipboardExpand all lines: CausalInference.md
+3-2Lines changed: 3 additions & 2 deletions
Display the source diff
Display the rich diff
Original file line number
Diff line number
Diff line change
@@ -187,9 +187,10 @@ generate balance tables and plots before and after covariate balancing. `r pkg("
187
187
Some of the above mentioned packages can also be used for heterogeneous
188
188
treatment effect (HTE) estimation.
189
189
190
-
-*Bayesian approaches* for individual causal effect estimation are
190
+
-*Bayesian approaches* for heterogeneous causal effect estimation are
191
191
available in `r pkg("bartCause")` (based on Bayesian Additive
192
-
Regression Trees).
192
+
Regression Trees) and `r pkg("stochtree")` (which implements the Bayesian
193
+
Causal Forest method, based on Bayesian Additive Regression Trees).
193
194
-*Fisherian approaches* for an omnibus test of heterogeneity and decomposition of overall treatment effect heterogeneity into a systematic component explained by covariates and an idiosyncratic component is implemented in `r pkg("hettx")`.
194
195
-*Efficacious treatment or population subset selection* exploiting
0 commit comments