README.md
In akeyel/dfmip: Disease Forecast Model Intercomparison Project
dfmip
Disease Forecast Model Intercomparison Project
Title: dfmip: Disease Forecast Model Intercomparison Project
Version: See DESCRIPTION file
Author: Alexander C Keyel akeyel@albany.edu
Maintainer: Alexander Keyel akeyel@albany.edu
3rd Party Code: The MLE_IR.R file is modified from Williams & Moffitt 2005. Estimation of pathogen prevalence in pooled samples using maximum likelihood methods and open source software. Journal of Aquatic Animal Health 17: 386 – 391. Used with permission from the authors. The original source code is available here: https://www.tandfonline.com/doi/suppl/10.1577/H04-066.1/suppl_file/uahh_a_10264377_sup_0001.txt
Author Affiliations: Wadsworth Center, New York State Department of Health, Albany NY, USA and Department of Atmospheric Sciences, University at Albany, Albany, NY, USA
Description: A package to provide a simple, consistent interface to multiple disease forecasting models.
Acknowledgements: The code development was supported by cooperative agreement 1U01CK000509-01, funded by the Centers for Disease Control and Prevention, and by the National Socio-Environmental Synthesis Center (SESYNC) under funding received from the National Science Foundation DBI-1639145.. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention or the Department of Health and Human Services.
License: GPL 3; https://www.gnu.org/licenses/gpl-3.0.en.html
URL: https://github.com/akeyel/dfmip
akeyel/dfmip documentation built on Sept. 3, 2022, 1:26 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
dfmip
Disease Forecast Model Intercomparison Project
Title: dfmip: Disease Forecast Model Intercomparison Project
Version: See DESCRIPTION file
Author: Alexander C Keyel akeyel@albany.edu
Maintainer: Alexander Keyel akeyel@albany.edu
3rd Party Code: The MLE_IR.R file is modified from Williams & Moffitt 2005. Estimation of pathogen prevalence in pooled samples using maximum likelihood methods and open source software. Journal of Aquatic Animal Health 17: 386 – 391. Used with permission from the authors. The original source code is available here: https://www.tandfonline.com/doi/suppl/10.1577/H04-066.1/suppl_file/uahh_a_10264377_sup_0001.txt
Author Affiliations: Wadsworth Center, New York State Department of Health, Albany NY, USA and Department of Atmospheric Sciences, University at Albany, Albany, NY, USA
Description: A package to provide a simple, consistent interface to multiple disease forecasting models.
Acknowledgements: The code development was supported by cooperative agreement 1U01CK000509-01, funded by the Centers for Disease Control and Prevention, and by the National Socio-Environmental Synthesis Center (SESYNC) under funding received from the National Science Foundation DBI-1639145.. Its contents are solely the responsibility of the authors and do not necessarily represent the official views of the Centers for Disease Control and Prevention or the Department of Health and Human Services.
License: GPL 3; https://www.gnu.org/licenses/gpl-3.0.en.html
URL: https://github.com/akeyel/dfmip
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.