pass along maintainer role

Yue-Jiang · Yue-Jiang · commit cd4a2e03821c · 2019-09-04T21:11:30.000-07:00
diff --git a/DESCRIPTION b/DESCRIPTION
@@ -2,9 +2,9 @@ Package: randomForestExplainer
 Title: Explaining and Visualizing Random Forests in Terms of Variable Importance
 Version: 0.9
 Authors@R: c(
-  person("Aleksandra", "Paluszynska", email = "ola.paluszynska@gmail.com", role = c("aut", "cre")),
+  person("Aleksandra", "Paluszynska", email = "ola.paluszynska@gmail.com", role = c("aut")),
   person("Przemyslaw", "Biecek", email = "przemyslaw.biecek@gmail.com", role = c("aut","ths")),
-  person("Yue", "Jiang", email = "rivehill@gmail.com", role = "aut")
+  person("Yue", "Jiang", email = "rivehill@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9798-5517"))
   )
 Description: A set of tools to help explain which variables are most important in a random forests. Various variable importance measures are calculated and visualized in different settings in order to get an idea on how their importance changes depending on our criteria (Hemant Ishwaran and Udaya B. Kogalur and Eiran Z. Gorodeski and Andy J. Minn and Michael S. Lauer (2010) <doi:10.1198/jasa.2009.tm08622>, Leo Breiman (2001) <doi:10.1023/A:1010933404324>).
 Depends: R (>= 3.0)

-Original file line number
+Diff line change
 Title: Explaining and Visualizing Random Forests in Terms of Variable Importance
 Version: 0.9
 Authors@R: c(
 -  person("Aleksandra", "Paluszynska", email = "[email protected]", role = c("aut", "cre")),
 +  person("Aleksandra", "Paluszynska", email = "[email protected]", role = c("aut")),
   person("Przemyslaw", "Biecek", email = "[email protected]", role = c("aut","ths")),
 -  person("Yue", "Jiang", email = "[email protected]", role = "aut")
 +  person("Yue", "Jiang", email = "[email protected]", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-9798-5517"))
+  )
 Description: A set of tools to help explain which variables are most important in a random forests. Various variable importance measures are calculated and visualized in different settings in order to get an idea on how their importance changes depending on our criteria (Hemant Ishwaran and Udaya B. Kogalur and Eiran Z. Gorodeski and Andy J. Minn and Michael S. Lauer (2010) <doi:10.1198/jasa.2009.tm08622>, Leo Breiman (2001) <doi:10.1023/A:1010933404324>).
 Depends: R (>= 3.0)