Disclaimer
This package is a work in progress. It has been released to get feedback from users that we can incorporate in future releases.
The goal of serosurvey
is to gather Serological Survey Analysis functions and workflow templates for Prevalence Estimation Under Misclassification.
You can install the developmental version of serosurvey
from GitHub with:
The current workflow is divided in two steps:
survey
: Estimate multiple prevalences, andserology
: Estimate prevalence Under misclassification for a device with Known or Unknown test performanceFeel free to fill an issue or contribute with your functions or workflows in a pull request.
Andree Valle Campos | @avallecam
| avallecam@gmail.com
Project Link: https://github.com/avallecam/serosurvey
Many thanks to the Centro Nacional de Epidemiología, Prevención y Control de Enfermedades (CDC Perú) for the opportunity to work on this project.
citation("serosurvey")
#>
#> To cite package ‘serosurvey’ in publications use:
#>
#> Valle Campos A (2020). "serosurvey: Serological Survey Analysis
#> For Prevalence Estimation Under Misclassification." _Zenodo_. doi:
#> 10.5281/zenodo.4065080 (URL:
#> https://doi.org/10.5281/zenodo.4065080), R package version 1.0,
#> <URL: https://avallecam.github.io/serosurvey/>.
#>
#> A BibTeX entry for LaTeX users is
#>
#> @Article{,
#> author = {Andree {Valle Campos}},
#> title = {serosurvey: Serological Survey Analysis For Prevalence Estimation Under Misclassification},
#> journal = {Zenodo},
#> month = {oct},
#> year = {2020},
#> doi = {10.5281/zenodo.4065080},
#> note = {R package version 1.0},
#> url = {https://avallecam.github.io/serosurvey/},
#> }