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NobBS

1.1.1Package record

Nowcasting by Bayesian Smoothing

0packages dependsuggested by 1
6.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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.

Install

Health

CRAN checks
13OK
Slowest check: 4.9 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.1
READMEYes · 1,034 wordsVignettesYes · 3 · dynamicNEWSYes · 100% structured · does not mention 1.1.1Citation fileNoWebsitenot declared in DESCRIPTION
Help pages
4
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
39%
Return-value docs
100%
Help pages citing references
0%

Downloads

6.5K
CRAN downloads in the past year
Rank #6,937 · ~18/day · ~545/mo
Daily download trend is not available in this view yet.
51230 days
1.2K90 days
6.5K1 year
Compare downloads with other packages →
Also on74 r2u5 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing NobBS adds 17 packages (10 with compiled code, 5.3 MB of source tarballs). Heaviest: vctrs 1.0 MB, dplyr 902 KB, rlang 766 KB.

Depends (1)
R >= 3.3.0
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (8)
Maintainer since 1.1.1 (2026), Author, Contributor · added in 1.1.0
Author, Contributor
Author, Contributor · added in 1.1.0
Contributor · added in 1.1.0
Contributor · added in 1.1.0

Previously maintained by Rami Yaari (1.1.0) and Sarah McGough (0.1.0 to 1.0.0).

Releases (4)

Pick two releases to compare their code metrics.

  • 1.1.1Latest
    record
    2026-06-01 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 1.1.0
    record
    2025-05-07 · diff ↗
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • unarchivedReturned to CRAN
    2024-01-08
  • 1.0.0
    record
    2024-01-08 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • archivedRemoved from CRAN
    2023-03-01
    issues were not corrected despite reminders
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • 0.1.0
    record
    2020-03-03
  • R
    R 3.6.0 released · 2019-04-26

Package metadata

First published
2020-03-03
Total releases
4 / 6 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.3.0
Bundled data
52 KB / 2 files
Download size
543 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("NobBS")
Zepeda Tello, R., Johansson, M., Lipsitch, M., McGough, S., Menzies, N., Perini, M., Yaari, R., & Yamana, T. (2026). NobBS: Nowcasting by Bayesian Smoothing (Version 1.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.NobBS

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for NobBS version 1.1.1 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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