Skip to content

Changes from CRAN submission #100

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
lauespinosa merged 3 commits into from
Mar 3, 2026
Merged

Changes from CRAN submission #100

Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
a81ee42
Merge branch 'main' of github.com:EU-ECDC/episomer
forchard Mar 3, 2026
8e4fa74
Merge branch 'ecdc_main'
forchard Mar 3, 2026
a121b1b
Release candidate 3.0.30: surrounding epitweetr reference in single q…
forchard Mar 3, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
4 changes: 2 additions & 2 deletions episomer/DESCRIPTION
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,6 +1,6 @@
Package: episomer
Title: Early Detection of Public Health Threats from Social Media Data
Version: 3.0.29
Version: 3.0.30
Authors@R: c(
person(given = "Laura",
family = "Espinosa",
Expand Down Expand Up @@ -59,7 +59,7 @@ Authors@R: c(
role = "ctb",
email = "y.mansiaux@epiconcept.fr")
)
Description: It allows you to automatically monitor trends of social media messages by time, place and topic aiming at detecting public health threats early through the detection of signals (i.e., an unusual increase in the number of messages per time, topic and location). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords. More information on the original package epitweetr is available in the peer-review publication <doi:10.2807/1560-7917.ES.2022.27.39.2200177>.
Description: It allows you to automatically monitor trends of social media messages by time, place and topic aiming at detecting public health threats early through the detection of signals (i.e., an unusual increase in the number of messages per time, topic and location). It was designed to focus on infectious diseases, and it can be extended to all hazards or other fields of study by modifying the topics and keywords. More information on the original package 'epitweetr' is available in the peer-review publication <doi:10.2807/1560-7917.ES.2022.27.39.2200177>.
License: EUPL
URL: https://github.com/EU-ECDC/episomer
BugReports: https://github.com/EU-ECDC/episomer/issues
Expand Down