Updated the Description (thanks to Daniel for pointing this out).

Author: pcarbo

DESCRIPTION

@@ -9,13 +9,13 @@ Authors@R: c(person("Zhengrong","Xing",role="aut"),
              person("Peter","Carbonetto",role=c("aut","cre"),
 	            email="[email protected]"))
 Title: Smoothing by Adaptive Shrinkage in R
-Version: 1.3-3
-Date: 2025-11-20
+Version: 1.3-4
+Date: 2025-11-26
 Description: Fast, wavelet-based Empirical Bayes shrinkage methods for
     signal denoising, including smoothing Poisson-distributed data and
     Gaussian-distributed data with possibly heteroskedastic error. The
-    algorithms implement the methods described Z. Xing & M. Stephens,
-    2016 <arXiv:1605.07787>.
+    algorithms implement the methods described Z. Xing, P. Carbonetto & 
+    M. Stephens (2021) <https://jmlr.org/papers/v22/19-042.html>.
 License: GPL (>= 3)
 Depends: R (>= 3.1.1),
 Imports: