Single location | Covid-19 Hospitalization data | Data in cstidy format | Weekly observations | Multiple locations
Package: csalert 2024.6.24
csalert: Alerts from Public Health Surveillance Data
Helps create alerts and determine trends by using various methods to analyze public health surveillance data. The primary analysis method is based upon a published analytics strategy by Benedetti (2019) <doi:10.5588/pha.19.0002>.
Authors:
csalert_2024.6.24.tar.gz
csalert_2024.6.24.zip(r-4.7)csalert_2024.6.24.zip(r-4.6)csalert_2024.6.24.zip(r-4.5)
csalert_2024.6.24.tgz(r-4.6-any)csalert_2024.6.24.tgz(r-4.5-any)
csalert_2024.6.24.tar.gz(r-4.7-any)csalert_2024.6.24.tar.gz(r-4.6-any)
csalert_2024.6.24.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
csalert/json (API)
| # Install 'csalert' in R: |
| install.packages('csalert', repos = c('https://raubreywhite.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/csids/csalert/issues
Last updated from:89cc61e50b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 200 | ||
| source / vignettes | OK | 207 | ||
| linux-release-x86_64 | OK | 155 | ||
| macos-release-arm64 | OK | 116 | ||
| macos-oldrel-arm64 | OK | 92 | ||
| windows-devel | OK | 113 | ||
| windows-release | OK | 105 | ||
| windows-oldrel | OK | 101 | ||
| wasm-release | OK | 119 |
Exports:add_holiday_effectshort_term_trendshort_term_trend_sts_v1signal_detection_hlmsimulate_baseline_datasimulate_seasonal_outbreak_datasimulate_spike_outbreak_data
Dependencies:clicpp11crayoncsdatacstidycstimedata.tabledeldirdigestfarvergenericsggplot2glm2gluegtableisobandlabelinglatticelifecyclelubridatemagrittrMASSMatrixnlmepolyclippolyCubR6RColorBrewerrlangS7scalesspspatstat.dataspatstat.geomspatstat.univarspatstat.utilsstringistringrsurveillancetimechangevctrsviridisLitewithrxtable
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Holiday effect -- | add_holiday_effect |
| Prediction thresholds | prediction_interval |
| Prediction thresholds | prediction_interval.glm |
| Determine the short term trend of a timeseries | short_term_trend short_term_trend.csfmt_rts_data_v1 |
| Determine the short term trend of a timeseries | short_term_trend_sts_v1 |
| Determine the short term trend of a timeseries | signal_detection_hlm signal_detection_hlm.csfmt_rts_data_v1 |
| Simulate baseline data -- Simulation of baseline data. | simulate_baseline_data |
| Simulate seasonal outbreaks -- | simulate_seasonal_outbreak_data |
| Simulate spiked outbreaks -- | simulate_spike_outbreak_data |
