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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# `SEIRcovid19FR`
`SEIRcovid19FR` is an R package for multi-level inference of epidemic dynamics applied to COVID-19 in France.
<!-- badges: start -->
[![AppVeyor build status](https://ci.appveyor.com/api/projects/status/github/sistm/SEIRcovid19?branch=master&svg=true)](https://ci.appveyor.com/project/sistm/SEIRcovid19)
[![R-CMD-check](https://github.com/sistm/SEIRcovid19/workflows/R-CMD-check/badge.svg)](https://github.com/sistm/SEIRcovid19/actions)
[![Travis build status](https://travis-ci.com/sistm/SEIRcovid19.svg?branch=master)](https://travis-ci.com/sistm/SEIRcovid19)
<!-- badges: end -->
## Installation
You can install the development version of SEIRcovid19FR from [GitHub](https://github.com/) with:
``` r
# install.packages("devtools")
devtools::install_github("sistm/SEIRcovid19")
```
## Updating the Hospitalization data for Monolix :
1. download the new SurSaUD file in `data/raw` from [data.gouv](https://www.data.gouv.fr/fr/datasets/r/941ff2b4-ea24-4cdf-b0a7-655f2a332fb2)
2. update the file name and run the commented code in example of `R/sursaud_covid19.R`
3. reload the package
4. run the example script of `R/prepare_data_4monolix.R`
Mélanie Prague, Dan Dutartre & Boris Hejblum