Package: PandemicLP
Type: Package
Title: Long Term Prediction for Epidemic and Pandemic Data
Version: 1.3.0
Date: 2022-03-16
Authors@R: c(person("Débora", "de Freitas Magalhães", email = "deborafmag@gmail.com", role = "aut"),
            person("Marta Cristina", "Colozza Bianchi da Costa", email = "marta_bianchi@ufg.br", role = "aut"),
            person("Guido", "Alberti Moreira", email = "guidoalber@gmail.com", role = c("cre","aut"),comment=c(ORCID="0000-0001-7557-0874")),
            person("Thais", "Pacheco Menezes", email = "thaispacheco1207@gmail.com", role = "aut"),
            person("Marcos", "Oliveira Prates", email = "marcosop@est.ufmg.br", role = "ctb",comment=c(ORCID="0000-0001-8077-4898")))
Contact: CovidLP team <covidlp.team@gmail.com>
Maintainer: Guido Alberti Moreira <guidoalber@gmail.com>
Description: Implementation of the methodology described in <http://est.ufmg.br/covidlp/home/pt/> 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.
License: GPL-3
Encoding: UTF-8
LazyData: true
Biarch: true
Depends: R (>= 3.5.0), rstan (>= 2.18.1), rstantools (>= 2.1.1), stats
Imports: utils, methods, Rcpp (>= 0.12.0), plotly (>= 4.9.2.1), dplyr
        (>= 1.0.1), curl (>= 4.3), tidyr (>= 1.1.1), covid19br
LinkingTo: BH (>= 1.66.0), Rcpp (>= 0.12.0), RcppEigen (>= 0.3.3.3.0),
        RcppParallel (>= 5.0.1), rstan (>= 2.18.1), StanHeaders (>=
        2.18.0)
Suggests: knitr, rmarkdown, webshot
URL: <http://est.ufmg.br/covidlp/home/pt/>
VignetteBuilder: knitr
SystemRequirements: GNU make
RoxygenNote: 7.1.2
NeedsCompilation: yes
Packaged: 2022-03-16 16:43:23 UTC; anthorg
Author: Débora de Freitas Magalhães [aut],
  Marta Cristina Colozza Bianchi da Costa [aut],
  Guido Alberti Moreira [cre, aut]
    (<https://orcid.org/0000-0001-7557-0874>),
  Thais Pacheco Menezes [aut],
  Marcos Oliveira Prates [ctb] (<https://orcid.org/0000-0001-8077-4898>)
Repository: CRAN
Date/Publication: 2022-03-16 18:50:02 UTC
