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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 Espinosa et al. (2022) <doi:10.2807/1560-7917.ES.2022.27.39.2200177>.
| Version: | 3.0.32 |
| Imports: | dplyr, curl, DT, emayili, future, httr, htmltools, jsonlite, keyring, ggplot2, janitor, magrittr, parallel, plotly, processx, readxl, rlang, rmarkdown, rnaturalearthdata, openxlsx, shiny, stringr, stats, tibble, tools, utils, xtable, httr2, lubridate, sf, cli |
| Suggests: | knitr, taskscheduleR, testthat (≥ 3.0.0) |
| Published: | 2026-03-18 |
| DOI: | 10.32614/CRAN.package.episomer |
| Author: | Laura Espinosa |
| Maintainer: | Laura Espinosa <laura.espinosa at ecdc.europa.eu> |
| BugReports: | https://github.com/EU-ECDC/episomer/issues |
| License: | EUPL version 1.1 | EUPL version 1.2 [expanded from: EUPL] |
| URL: | https://github.com/EU-ECDC/episomer |
| NeedsCompilation: | no |
| CRAN checks: | episomer results |
| Reference manual: | episomer.html , episomer.pdf |
| Vignettes: |
add_new_social_media (source, R code) episomer: user documentation (source, R code) |
| Package source: | episomer_3.0.32.tar.gz |
| Windows binaries: | r-devel: episomer_3.0.32.zip, r-release: episomer_3.0.32.zip, r-oldrel: episomer_3.0.32.zip |
| macOS binaries: | r-release (arm64): episomer_3.0.32.tgz, r-oldrel (arm64): episomer_3.0.32.tgz, r-release (x86_64): episomer_3.0.32.tgz, r-oldrel (x86_64): episomer_3.0.32.tgz |
Please use the canonical form https://CRAN.R-project.org/package=episomer to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.