Package: EpiLPS
Type: Package
Title: A Bayesian Tool for Fast and Flexible Estimation of the
        Reproduction Number
Version: 1.0.7
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 case counts. 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-within-Gibbs algorithm and Langevin diffusions for
 efficient sampling of the posterior distribution.
URL: <https://github.com/oswaldogressani/EpiLPS>
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
LinkingTo: RcppArmadillo, Rcpp
Imports: Rcpp (>= 1.0.7), coda (>= 0.19-4), progress (>= 1.2.2), crayon
        (>= 1.4.1), MASS (>= 7.3-54), EpiEstim (>= 2.2-4), ggplot2 (>=
        3.3.5), grDevices (>= 4.1.0), gridExtra (>= 2.3)
Suggests: rmarkdown, knitr
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2023-01-18 13:43:10 UTC; OswaldoTower89
Author: Oswaldo Gressani [aut, cre] (<https://orcid.org/0000-0003-4152-6159>)
Repository: CRAN
Date/Publication: 2023-01-18 14:00:02 UTC
