EpiLPS: A Fast and Flexible Bayesian Tool for Estimating Epidemiological Parameters

Estimation of epidemiological parameters with Laplacian-P-splines following the methodology of Gressani et al. (2022) <doi:10.1371/journal.pcbi.1010618>.

Version: 1.3.0
Depends: R (≥ 4.1.0)
Imports: Rcpp (≥ 1.0.7), coda (≥ 0.19-4), EpiEstim (≥ 2.2-4), ggplot2 (≥ 3.3.5), gridExtra (≥ 2.3)
LinkingTo: RcppArmadillo, Rcpp
Suggests: rmarkdown, knitr
Published: 2024-03-08
DOI: NA
Author: Oswaldo Gressani ORCID iD [aut, cre], Bryan Sumalinab ORCID iD [ctb]
Maintainer: Oswaldo Gressani <oswaldo_gressani at hotmail.fr>
BugReports: https://github.com/oswaldogressani/EpiLPS/issues
License: GPL-3
Copyright: see file COPYRIGHTS
URL: <https://epilps.com/>
NeedsCompilation: yes
Citation: EpiLPS citation info
Materials: README NEWS
CRAN checks: EpiLPS results

Documentation:

Reference manual: EpiLPS.pdf
Vignettes: Reproduction number

Downloads:

Package source: EpiLPS_1.3.0.tar.gz
Windows binaries: r-devel: EpiLPS_1.3.0.zip, r-release: EpiLPS_1.3.0.zip, r-oldrel: EpiLPS_1.3.0.zip
macOS binaries: r-release (arm64): EpiLPS_1.3.0.tgz, r-oldrel (arm64): EpiLPS_1.3.0.tgz, r-release (x86_64): EpiLPS_1.3.0.tgz, r-oldrel (x86_64): EpiLPS_1.3.0.tgz
Old sources: EpiLPS archive

Linking:

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