Package: NobBS 1.1.1

Rodrigo Zepeda Tello

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:Sarah McGough [aut, ctb], Nicolas Menzies [aut], Marc Lipsitch [aut], Michael Johansson [aut], Rami Yaari [aut, ctb], Rodrigo Zepeda Tello [cre, aut, ctb], Teresa Yamana [ctb], Matteo Perini [ctb]

NobBS_1.1.1.tar.gz
NobBS_1.1.1.tar.gz(r-4.7-any)NobBS_1.1.1.tar.gz(r-4.6-any)
NobBS_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
NobBS/json (API)
NEWS

# Install 'NobBS' in R:
install.packages('NobBS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • jags– Just Another Gibbs Sampler for Bayesian MCMC - binary JAGS is Just Another Gibbs Sampler. It is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) simulation not wholly unlike BUGS. JAGS was written with three aims in mind: * To have an engine for the BUGS language that runs on Unix * To be extensible, allowing users to write their own functions, distributions and samplers. * To be a plaftorm for experimentation with ideas in Bayesian modelling This package contains the 'jags' binary as well as the associated shared library modules loaded by the binary.
  • c++– GNU Standard C++ Library v3
Datasets:
  • denguedat - Denguedat: Dengue fever reporting data from Puerto Rico
  • mpoxdat - Mpoxdat: Mpox reporting data from the 2022 New York City Outbreak

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

jagscpp

4.43 score 45 scripts 526 downloads 4 mentions 2 exports 18 dependencies

Last updated from:b42dc53fb3. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK139
source / vignettesOK238
linux-release-x86_64OK150
wasm-releaseOK125

Exports:NobBSNobBS.strat

Dependencies:clicodadplyrgenericsgluelatticelifecyclemagrittrpillarpkgconfigR6rjagsrlangtibbletidyselectutf8vctrswithr

Accounting for Day-of-the-Week Effect in Nowcast Models

Rendered fromdow_effect.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2025-05-07
Started: 2025-05-07

Calculating Weighted Interval Score for Nowcast Models

Rendered fromwis_calc.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2025-05-07
Started: 2025-05-07

Handling Batched Reporting in Nowcast Models

Rendered frombatched_reports.Rmdusingknitr::rmarkdownon Jun 01 2026.

Last update: 2025-05-07
Started: 2025-05-07