CRAN/E | EpiInvert

EpiInvert

Variational Techniques in Epidemiology

Installation

About

Using variational techniques we address some epidemiological problems as the incidence curve decomposition by inverting the renewal equation as described in Alvarez et al. (2021) doi:10.1073/pnas.2105112118 and Alvarez et al. (2022) doi:10.3390/biology11040540 or the estimation of the functional relationship between epidemiological indicators. We also propose a learning method for the short time forecast of the trend incidence curve as described in Morel et al. (2022) doi:10.1101/2022.11.05.22281904.

github.com/lalvarezmat/EpiInvert

Key Metrics

Version 0.3.1
R ≥ 2.10
Published 2022-12-14 499 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks EpiInvert results

Downloads

Yesterday 6 -60%
Last 7 days 64 +3%
Last 30 days 251 +0%
Last 90 days 718 -14%
Last 365 days 2.980 +18%

Maintainer

Maintainer

Luis Alvarez

lalvarez@ulpgc.es

Authors

Luis Alvarez

aut / cre

Jean-David Morel

ctb

Jean-Michel Morel

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

EpiInvert archive

Depends

R ≥ 2.10

Imports

Rcpp ≥ 1.0.8.3

Suggests

knitr
ggplot2
grid
dplyr
testthat ≥ 3.0.0
rmarkdown
ggpubr

LinkingTo

Rcpp