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>.
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jagscpp
7.34 score 19 stars 48 scripts 546 downloads
deltapif - Estimate Potential Impact and Population Attributable Fractions with Aggregated Data
Uses the delta-method to estimate the Potential Impact Fraction (PIF) and the Population Attributable Fraction (PAF) from summary data. It creates point-estimates, confidence intervals, and estimates of the variance. Provides an extension to the aggregated data method in Chan, Zepeda-Tello et al (2025) <doi:10.1002/sim.70214>.
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5.34 score 2 stars 9 scripts 428 downloads