Package: aedseo 0.1.2.9000
Lasse Engbo Christiansen
aedseo: Automated and Early Detection of Seasonal Epidemic Onset
A powerful tool for automating the early detection of seasonal epidemic onsets in time series data. It offers the ability to estimate growth rates for consecutive time intervals and calculate the sum of cases (SoC) within those intervals. It is particularly useful for epidemiologists, public health professionals, and researchers seeking to identify and respond to seasonal epidemics in a timely fashion. For reference on growth rate estimation, see Walling and Lipstich (2007) <doi:10.1098/rspb.2006.3754> and Obadia et al. (2012) <doi:10.1186/1472-6947-12-147>.
Authors:
aedseo_0.1.2.9000.tar.gz
aedseo_0.1.2.9000.zip(r-4.5)aedseo_0.1.2.9000.zip(r-4.4)aedseo_0.1.2.9000.zip(r-4.3)
aedseo_0.1.2.9000.tgz(r-4.4-any)aedseo_0.1.2.9000.tgz(r-4.3-any)
aedseo_0.1.2.9000.tar.gz(r-4.5-noble)aedseo_0.1.2.9000.tar.gz(r-4.4-noble)
aedseo_0.1.2.9000.tgz(r-4.4-emscripten)aedseo_0.1.2.9000.tgz(r-4.3-emscripten)
aedseo.pdf |aedseo.html✨
aedseo/json (API)
NEWS
| # Install 'aedseo' in R: |
| install.packages('aedseo', repos = c('https://ssi-dk.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/ssi-dk/aedseo/issues
Last updated 18 days agofrom:626be5cc74. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | OK | Nov 05 2024 |
| R-4.5-linux | OK | Nov 05 2024 |
| R-4.4-win | OK | Nov 05 2024 |
| R-4.4-mac | OK | Nov 05 2024 |
| R-4.3-win | OK | Nov 05 2024 |
| R-4.3-mac | OK | Nov 05 2024 |
Exports:%>%aedseoautoplotepi_calendarfit_growth_ratefit_quantilesseasonal_burden_levelsseasonal_onsetto_time_seriestsd
Dependencies:backportscheckmateclicolorspacedplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpracmapurrrR6RColorBrewerrlangscalesstringistringrtibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Create a complete 'ggplot' appropriate to a particular data type | autoplot autoplot.tsd autoplot.tsd_onset |
| Determine Epidemiological Season | epi_calendar |
| Fit a growth rate model to time series observations. | fit_growth_rate |
| Fits weighted observations to distribution and returns quantiles | fit_quantiles |
| Create a complete 'ggplot' appropriate to a particular data type | plot plot.tsd plot.tsd_onset |
| Predict Growth Rates for Future Time Steps | predict.tsd_onset |
| Compute burden levels from seasonal time series observations. | seasonal_burden_levels |
| Automated and Early Detection of Seasonal Epidemic Onset | seasonal_onset |
| Summary method for 'tsd_onset' objects | summary.tsd_onset |
| Create a tibble-like 'tsd' (time-series data) object from observed data and corresponding dates. | to_time_series |