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This repository stores the code used in ern
, an R package to estimate the effective reproduction number (\(R_t\)) of pathogens using clinical or wastewater data.
This package is developed at the Public Health Agency of Canada / National Microbiology Laboratory. Please note this software is provivded “as is”, without warranty of any kind; see the license.
To install the latest version of this package:
rjags
is a dependency for ern
, specifically for Rt calculations performed on clinical testing data using the “renewal” method for inference of the daily incidence from aggregated clinical data. If you are only using the “linear” method, or performing calculations using wastewater data, you do not need to worry about installing rjags
and can skip this section.
rjags
is the R interface for the JAGS
Bayesian modelling library. Installation of JAGS
is required and the latest version can be found here. It is recommended that you are using the latest version of R and JAGS
for optimal usage of ern
.
JAGS
, we recommend downgrading to an R version that is less than 4.2. More details can be found hereJAGS
or rjags
, we recommend consulting the JAGS
discussion board.To use ern
to estimate \(R_t\):
To learn more about how default distribution parameters were estimated in ern
:
You can cite ern
with:
citation('ern')
#>
#> To cite package 'ern' in publications use:
#>
#> Champredon D, Papst I, Yusuf W (2023). _ern: An R Package to Estimate
#> the Effective Reproduction Number Using Clinical and Wastewater
#> Surveillance Data_. National Microbiology Laboratory, Public Health
#> Agency of Canada, Government of Canada.
#> <https://github.com/phac-nml-phrsd/ern>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Manual{,
#> title = {ern: An R Package to Estimate the Effective Reproduction Number Using Clinical and Wastewater Surveillance Data},
#> author = {David Champredon and Irena Papst and Warsame Yusuf},
#> organization = {National Microbiology Laboratory, Public Health Agency of Canada, Government of Canada},
#> year = {2023},
#> url = {https://github.com/phac-nml-phrsd/ern},
#> }
Before creating a pull request into main
, please be sure to pull main
in to your development branch, resolve any conflicts, and then run devtools::check(args = c('--as-cran'))
on your development branch. Ensure that all checks pass without issue.
R-devel
version. Note: you also need the latest Rtools
associated with this version (download here)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.