From 472147f448dd5c5dff54a09bde3754bf14b60f61 Mon Sep 17 00:00:00 2001
From: Jared Murray <30992825+jaredsmurray@users.noreply.github.com>
Date: Thu, 23 Oct 2025 11:55:22 -0500
Subject: [PATCH] Hotfix for bcf.predict without propensity scores

the new dataset for predictions takes X_combined, which wasn't created when propensity_covariate="none"
---
 R/bcf.R | 1 +
 1 file changed, 1 insertion(+)

diff --git a/R/bcf.R b/R/bcf.R
index 2d02cb6b..2d1564fa 100644
--- a/R/bcf.R
+++ b/R/bcf.R
@@ -2707,6 +2707,7 @@ predict.bcfmodel <- function(
     }
 
     # Add propensities to covariate set if necessary
+    X_combined <- X
     if (object$model_params$propensity_covariate != "none") {
         X_combined <- cbind(X, propensity)
     }