Version 4.2.1

.version.json

@@ -1,6 +1,6 @@
 {
   "schemaVersion": 1,
   "label": "GitHub",
-  "message": "4.2.0",
+  "message": "4.2.1",
   "color": "blue"
 }

DESCRIPTION

@@ -1,7 +1,7 @@
 Package: plmmr
 Title: Penalized Linear Mixed Models for Correlated Data
-Version: 4.2.0
-Date: 2025-02-18
+Version: 4.2.1
+Date: 2025-03-03
 Authors@R: c(
     person("Tabitha K.", "Peter", , "[email protected]", role = "aut",
            comment = c(ORCID = "0009-0005-2524-4751")),

NEWS.md

@@ -1,3 +1,7 @@
+# plmmr 4.2.1
+
+- **Internal:** Fixed LTO type mismatch bug.
+
 # plmmr 4.2.0
 
 - **Bug in BLUP**: We caught a mathematical error in our earlier implementation of best linear unbiased prediction. The issue had to do with an inconsistency in the scaling among the terms used in constructing this predictor. This issue impacted prediction within cross-validation as well as the `predict()` method for our `plmm` class.

src/plmm_init.c

@@ -10,7 +10,10 @@
 extern SEXP big_sd(SEXP X_, SEXP ncore_);
 
 // standardize a matrix of filebacked data
-extern SEXP big_std(SEXP X_, SEXP ncore_);
+extern SEXP big_std(SEXP X_,
+                    SEXP ncore_,
+                    SEXP center_,
+                    SEXP scale_);
 
 // standardize a matrix of in-memory data
 extern SEXP in_mem_std(SEXP X_);
@@ -21,8 +24,8 @@ extern SEXP big_crossprod(SEXP X_,
                           SEXP ncore_);
 
 static const R_CallMethodDef callMethods[] = {
-  {"big_crossprod", (DL_FUNC) &big_crossprod, 4},
-  {"big_std", (DL_FUNC) &big_std, 2},
+  {"big_crossprod", (DL_FUNC) &big_crossprod, 3},
+  {"big_std", (DL_FUNC) &big_std, 4},
   {"big_sd", (DL_FUNC) &big_sd, 2},
   {"in_mem_std", (DL_FUNC) &in_mem_std, 1},
   {NULL, NULL, 0}