Statistical Models for Notification Delay Correction of Epidemiological Data

Statistical models for correcting notification delays of epidemiological data. The package wraps statistical models to estimate not yet reported data using empirical delay distribution either from individual-level data or from the differences of aggregated time series of cases. For more details see Bastos et al. (2019) .


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("nowcaster")

1.0.0 by Leo Bastos, 22 days ago


https://covid19br.github.io/nowcaster/


Report a bug at https://github.com/covid19br/nowcaster/issues


Browse source code at https://github.com/cran/nowcaster


Authors: Rafael Lopes [aut] , Tatiana Portella [aut] , Leo Bastos [aut, cre]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports dplyr, tidyr, tibble, mgcv

Suggests INLA, ggplot2, knitr, rmarkdown, vroom, parallel, lubridate, lme4, sn, stringr


See at CRAN