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PandemicLP: Long Term Prediction for Epidemic and Pandemic Data
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.
Getting started
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Package details |
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| 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>) |
| Maintainer | Guido Alberti Moreira <guidoalber@gmail.com> |
| License | GPL-3 |
| Version | 1.3.0 |
| URL | <http://est.ufmg.br/covidlp/home/pt/> |
| Package repository | View on CRAN |
| Installation |
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