PandemicLP: Long Term Prediction for Epidemic and Pandemic Data

Implementation of the methodology described in <> which can be also found in help(models). Implemented models are currently the Poisson distribution. The mean function can be the basic generalized logistic form, or the seasonal effect which has under- or over-reporting effects in up to three weekdays, or the two curves form. Bayesian inference is made available through the 'stan' software and its diagnostic functions pool can be used. Plot methods are implemented to mimic the graphics from the 'shiny' app in the URL using the 'plotly' library.

Version: 0.2.1
Depends: R (≥ 3.5.0), rstan (≥ 2.18.1), rstantools (≥ 2.1.1), stats
Imports: utils, methods, Rcpp (≥ 0.12.0), plotly (≥, dplyr (≥ 1.0.1), curl (≥ 4.3), tidyr (≥ 1.1.1)
LinkingTo: BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥, RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥ 2.18.0)
Suggests: knitr, rmarkdown, webshot
Published: 2021-02-09
Author: Débora de Freitas Magalhães [aut], Marta Cristina Colozza Bianchi da Costa [aut], Guido Alberti Moreira ORCID iD [cre, aut], Thais Pacheco Menezes [aut], Marcos Oliveira Prates ORCID iD [ctb]
Maintainer: Guido Alberti Moreira <guidoalber at>
Contact: CovidLP team <>
License: GPL-3
URL: <>
NeedsCompilation: yes
SystemRequirements: GNU make
Materials: NEWS
CRAN checks: PandemicLP results


Reference manual: PandemicLP.pdf
Vignettes: PandemicLP
Package source: PandemicLP_0.2.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release: PandemicLP_0.2.1.tgz, r-oldrel: PandemicLP_0.2.1.tgz
Old sources: PandemicLP archive


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