akeyel/rf1: Random Forest Workflow 1 for DFMIP

A mosquito-borne disease forecasting approach. This package was developed by Alexander Keyel, Wadsworth Center, New York State Department of Health, Albany, NY, USA. The code\ development was supported by cooperative agreement 1U01CK000509-01, funded by the Centers for Disease Control and Prevention. Its contents are solely the responsibility of the author and do not necessarily represent the official views of the Centers for Disease Control and Prevention or the Department of Health and Human Services. See README.docx for more details. The MLE_IR.R file was modified with permission 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. Original source code from Williams and Moffitt 2005 is available here: https://www.tandfonline.com/doi/suppl/10.1577/H04- 066.1/suppl_file/uahh_a_10264377_sup_0001.txt.

Getting started

Package details

AuthorAlexander C Keyel <akeyel@albany.edu> MLE_IR.R from Williams & Moffitt 2005
MaintainerAlexander Keyel <akeyel@albany.edu>
LicenseGPL-3
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("akeyel/rf1")
akeyel/rf1 documentation built on May 24, 2020, 8:53 a.m.