update maintainer

OHDSI · Oct 10, 2024 · 3226379 · 3226379
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diff --git a/DESCRIPTION b/DESCRIPTION
@@ -3,16 +3,15 @@ Type: Package
 Title: Developing patient level prediction using data in the OMOP Common Data
     Model
 Version: 6.3.9.9999
-Date: 2024-08-21
+Date: 2024-10-10
 Authors@R: c(
-    person("Jenna", "Reps", email = "[email protected]", role = c("aut", "cre")),
+    person("Egill", "Fridgeirsson", email = "[email protected]", role = c("aut", "cre")),
+    person("Jenna", "Reps", email = "[email protected]", role = c("aut")),
     person("Martijn", "Schuemie", role = c("aut")),
     person("Marc", "Suchard", role = c("aut")),
     person("Patrick", "Ryan", role = c("aut")),
     person("Peter", "Rijnbeek", role = c("aut")),
-    person("Egill", "Fridgeirsson", role = c("aut"))
     )
-Maintainer: Jenna Reps <[email protected]>
 Description: A user friendly way to create patient level prediction models using the OMOP common data model. Given a
     cohort of interest and an outcome of interest, the package can use data in the
     OMOP Common Data Model to build a large set of features. These features can then

diff --git a/NEWS.md b/NEWS.md
@@ -1,3 +1,8 @@
+PatientLevelPrediction develop
+======================
+- Official maintainer updated to Egill Fridgeirsson
+
+
 PatientLevelPrediction 6.3.9
 ======================
 - Hotfix adding schema to DatabaseConnector::getTableNames when creating results tables

diff --git a/README.md b/README.md
@@ -132,6 +132,6 @@ PatientLevelPrediction is being developed in R Studio.
 
 # Acknowledgements
 
-- The package is maintained by Jenna Reps and Peter Rijnbeek and has been developed with major contributions from Martijn Schuemie, Patrick Ryan, and Marc Suchard.
-- We like to thank the following persons for their contributions to the package: Seng Chan You, Ross Williams, Henrik John, Xiaoyong Pan, James Wiggins, Egill Fridgeirsson, Alex Rekkas
+- The package is maintained by Egill Fridgeirsson and Jenna Reps and has been developed with major contributions from Peter Rijnbeek, Martijn Schuemie, Patrick Ryan, and Marc Suchard.
+- We like to thank the following persons for their contributions to the package: Seng Chan You, Ross Williams, Henrik John, Xiaoyong Pan, James Wiggins, Alex Rekkas
 - This project is supported in part through the National Science Foundation grant IIS 1251151.