Package: NobBS 1.0.0
NobBS: Nowcasting by Bayesian Smoothing
A Bayesian approach to estimate the number of occurred-but-not-yet-reported cases from incomplete, time-stamped reporting data for disease outbreaks. 'NobBS' learns the reporting delay distribution and the time evolution of the epidemic curve to produce smoothed nowcasts in both stable and time-varying case reporting settings, as described in McGough et al. (2020) <doi:10.1371/journal.pcbi.1007735>.
Authors:
NobBS_1.0.0.tar.gz
NobBS_1.0.0.tar.gz(r-4.5-noble)NobBS_1.0.0.tar.gz(r-4.4-noble)
NobBS_1.0.0.tgz(r-4.4-emscripten)NobBS_1.0.0.tgz(r-4.3-emscripten)
NobBS.pdf |NobBS.html✨
NobBS/json (API)
NEWS
# Install 'NobBS' in R: |
install.packages('NobBS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- denguedat - Denguedat: Dengue fever reporting data from Puerto Rico
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 11 months agofrom:e58a379f91. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 04 2024 |
R-4.5-linux | OK | Dec 04 2024 |
Exports:NobBSNobBS.strat
Dependencies:clicodadplyrfansigenericsgluelatticelifecyclemagrittrpillarpkgconfigR6rjagsrlangtibbletidyselectutf8vctrswithr