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CRAN: Package RtForecastR

RtForecastR: Real-Time Effective Reproduction Number Estimation and Forecasting

Filtered (real-time/causal) and smoothed (retrospective) estimation of the time-varying effective reproduction number (Rt) from case-count time series, using the EpiFilter algorithm of Parag (2021) <doi:10.1371/journal.pcbi.1009347>, together with a one-step-ahead in-sample prediction check, a genuine out-of-sample one-step forecast with predictive intervals, elimination probability P(Rt < 1), and forecast calibration metrics (mean absolute error, mean squared error, root mean squared error, empirical coverage, and the weighted interval score of Bracher et al. (2021) <doi:10.1371/journal.pcbi.1008618>). Disease-agnostic: works for any pathogen given a known generation interval.

Version: 0.1.1
Depends: R (≥ 3.5)
Imports: graphics, grDevices, stats, utils
Suggests: testthat (≥ 3.0.0), knitr, rmarkdown
Published: 2026-08-21
DOI: 10.32614/CRAN.package.RtForecastR
Author: Raj Subedi [aut, cre, cph] (Copyright holder for all files except epiFilter.R, epiSmoother.R, and the original recursPredict.R logic (see Kris V. Parag entry); author of R/recursPredict.R's configurable-grid maxI extension and R/recursPredictQuantiles.R), Kris V. Parag [ctb, cph] (Author/copyright holder of the original EpiFilter algorithm (epiFilter, epiSmoother, recursPredict); files R/epiFilter.R, R/epiSmoother.R and R/recursPredict.R are unmodified or lightly modified ports of that work, released under GPL-3)
Maintainer: Raj Subedi <rajsubediresearch at gmail.com>
BugReports: https://github.com/rajsubediresearch/RtForecastR/issues
License: GPL-3
URL: https://github.com/rajsubediresearch/RtForecastR
NeedsCompilation: no
Language: en-US
Materials: NEWS
CRAN checks: RtForecastR results

Documentation:

Reference manual: RtForecastR.html , RtForecastR.pdf
Vignettes: RtForecastR walkthrough (source, R code)

Downloads:

Package source: RtForecastR_0.1.1.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: RtForecastR_0.1.1.zip
macOS binaries: r-release (arm64): RtForecastR_0.1.1.tgz, r-oldrel (arm64): RtForecastR_0.1.1.tgz, r-release (x86_64): RtForecastR_0.1.1.tgz, r-oldrel (x86_64): RtForecastR_0.1.1.tgz
Old sources: RtForecastR archive

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