diff --git a/DESCRIPTION b/DESCRIPTION index 8b681e2cb..e5dc7bb30 100644 --- 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 = "jreps@its.jnj.com", role = c("aut", "cre")), + person("Egill", "Fridgeirsson", email = "e.fridgeirsson@erasmusmc.nl", role = c("aut", "cre")), + person("Jenna", "Reps", email = "jreps@its.jnj.com", 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 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 index 4de122e95..816369a51 100644 --- 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 index 2126ec474..c47de3f4d 100644 --- 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.