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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: 10.32614/CRAN.package.EpiLPS
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:

Please use the canonical form https://CRAN.R-project.org/package=EpiLPS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.