add doi

DESCRIPTION

@@ -4,16 +4,17 @@ Title: Fast Principal Component Analysis for Outlier Detection
 Version: 4.3.5
 Date: 2023-08-29
 Authors@R: c(
-    person("Keurcien", "Luu", role = c("aut")), 
-    person("Michael", "Blum", role = c("aut")),
+    person("Keurcien", "Luu", role = "aut"), 
+    person("Michael", "Blum", role = "aut"),
     person("Florian", "Privé", role = c("aut", "cre"), 
            email = "[email protected]"),
-    person("Eric", "Bazin", role = c("ctb")),
-    person("Nicolas", "Duforet-Frebourg", role = c("ctb")))
+    person("Eric", "Bazin", role = "ctb"),
+    person("Nicolas", "Duforet-Frebourg", role = "ctb"))
 Description: Methods to detect genetic markers involved in biological
     adaptation. 'pcadapt' provides statistical tools for outlier detection based on
     Principal Component Analysis. Implements the method described in (Luu, 2016)
-    <DOI:10.1111/1755-0998.12592>.
+    <DOI:10.1111/1755-0998.12592> and later revised in (Privé, 2020) 
+    <DOI:10.1093/molbev/msaa053>.
 License: GPL (>= 2)
 Imports:
     bigutilsr (>= 0.3),