Package: EpiLPS
Type: Package
Title: A Bayesian Tool for Fast and Flexible Estimation of the
        Reproduction Number
Version: 1.1.0
Depends: R (>= 4.1.0)
Authors@R: person("Oswaldo","Gressani", 
 email="oswaldo_gressani@hotmail.fr", role=c("aut","cre"),
 comment=c(ORCID ="0000-0003-4152-6159"))
Maintainer: Oswaldo Gressani <oswaldo_gressani@hotmail.fr>
BugReports: https://github.com/oswaldogressani/EpiLPS/issues
Description: Estimation of the instantaneous reproduction number with 
 Laplacian-P-splines following the methodology of Gressani et al. (2022)
 <doi:10.1371/journal.pcbi.1010618>. The negative binomial 
 distribution is used to model the time series of incidence data. Two methods are 
 available for inference : (1) a sampling-free approach based on a maximum a 
 posteriori calibration of the hyperparameter vector and (2) a fully stochastic 
 approach with a Metropolis-adjusted Langevin algorithm for
 efficient sampling of the posterior distribution.
URL: <https://github.com/oswaldogressani/EpiLPS>
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.2.3
LinkingTo: RcppArmadillo, Rcpp
Imports: Rcpp (>= 1.0.7), coda (>= 0.19-4), EpiEstim (>= 2.2-4),
        ggplot2 (>= 3.3.5), gridExtra (>= 2.3)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-04-05 10:08:28 UTC; OswaldoTower89
Author: Oswaldo Gressani [aut, cre] (<https://orcid.org/0000-0003-4152-6159>)
Repository: CRAN
Date/Publication: 2023-04-05 11:03:20 UTC
Built: R 4.1.3; x86_64-w64-mingw32; 2023-04-17 19:18:31 UTC; windows
Archs: i386, x64
