CRAN/E | epitweetr

epitweetr

Early Detection of Public Health Threats from 'Twitter' Data

Installation

About

It allows you to automatically monitor trends of tweets by time, place and topic aiming at detecting public health threats early through the detection of signals (e.g. an unusual increase in the number of tweets). 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 is available in the 'epitweetr' peer-review publication ().

github.com/EU-ECDC/epitweetr
Bug report File report

Key Metrics

Version 2.2.13
Published 2022-12-01 484 days ago
Needs compilation? no
License EUPL
CRAN checks epitweetr results

Downloads

Yesterday 20 0%
Last 7 days 78 -13%
Last 30 days 321 -9%
Last 90 days 1.200 +53%
Last 365 days 3.845 -8%

Maintainer

Maintainer

Laura Espinosa

laura.espinosa@ecdc.europa.eu

Authors

Laura Espinosa

aut / fnd / cre

(Project manager, author of the design and concept of the package, and package maintainer)

Francisco Orchard

aut / ctr

(Author of the package and original code)

Ariana Wijermans

ctb

(Contributor to the design and concept of the package)

Thomas Mollet

ctb / fnd

(Business owner of the project, and contributor to the design and concept of the package)

Adrian Prodan

ctb

Thomas Czernichow

ctb

Maria Prieto Gonzalez

ctb

Esther Kissling

ctb

Michael Höhle

ctb

Material

Reference manual
Package source

Vignettes

epitweetr: user documentation

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

epitweetr archive

Imports

bit64
dplyr
crul
curl
DT
emayili
future
httpuv
httr
htmltools
jsonlite
keyring
knitr
lifecycle
ggplot2
janitor
magrittr
parallel
plotly
processx
rtweet
readxl
rgdal
rlang
rmarkdown
rnaturalearthdata
openxlsx
plyr
shiny
sp
stringr
stats
tibble
tidyverse
tidytext
tokenizers
tools
utils
xtable
xml2

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