From 5ee75102340f0180de054109d880fad826bc6f99 Mon Sep 17 00:00:00 2001
From: ecmerkle <merklee@missouri.edu>
Date: Thu, 28 Mar 2024 21:27:48 -0500
Subject: [PATCH] possibly addressing #74: for two-level models, loudly use
 listwise deletion when missing data are encountered

---
 DESCRIPTION |  2 +-
 R/blavaan.R | 10 +++++++++-
 2 files changed, 10 insertions(+), 2 deletions(-)

diff --git a/DESCRIPTION b/DESCRIPTION
index 3cd0c700..624b562f 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: blavaan
 Title: Bayesian Latent Variable Analysis
-Version: 0.5-3.1251
+Version: 0.5-3.1253
 Authors@R: c(person(given = "Edgar", family = "Merkle",
                     role = c("aut", "cre"),
                     email = "merklee@missouri.edu",
diff --git a/R/blavaan.R b/R/blavaan.R
index 672bebea..b31eb431 100644
--- a/R/blavaan.R
+++ b/R/blavaan.R
@@ -321,7 +321,15 @@ blavaan <- function(...,  # default lavaan arguments
     dotdotdot$do.fit <- TRUE; dotdotdot$warn <- FALSE
     if(LAV@Data@data.type != "moment" && target == "stan"){
         ## if no missing, set missing = "listwise" to avoid meanstructure if possible
-        if(!any(is.na(unlist(lavInspect(LAV, 'data'))))) dotdotdot$missing <- "listwise"
+        if(!any(is.na(unlist(lavInspect(LAV, 'data'))))){
+            dotdotdot$missing <- "listwise"
+        } else {
+            if("cluster" %in% dotNames) {
+                ## set missing = "listwise" for two-level models
+                dotdotdot$missing <- "listwise"
+                cat("blavaan NOTE: for two-level models, listwise deletion is currently the only missingness option.\n\n")
+            }
+        }
     }
 
     # for initial values/some parameter setup: