argo: Accurate Estimation of Influenza Epidemics using Google Search Data

Augmented Regression with General Online data (ARGO) for accurate estimation of influenza epidemics in United States on national level, regional level and state level. It replicates the method introduced in paper Yang, S., Santillana, M. and Kou, S.C. (2015) <doi:10.1073/pnas.1515373112>; Ning, S., Yang, S. and Kou, S.C. (2019) <doi:10.1038/s41598-019-41559-6>; Yang, S., Ning, S. and Kou, S.C. (2021) <doi:10.1038/s41598-021-83084-5>.

Version:	3.0.1
Imports:	xts, glmnet, zoo, XML, xtable, Matrix, boot
Suggests:	testthat
Published:	2021-02-24
Author:	Shaoyang Ning, Shihao Yang, S. C. Kou
Maintainer:	Shihao Yang <shihao.yang at isye.gatech.edu>
License:	GPL-2
NeedsCompilation:	no
Materials:	README
In views:	Epidemiology
CRAN checks:	argo results

Documentation:

Reference manual:

argo.pdf

Downloads:

Package source:	argo_3.0.1.tar.gz
Windows binaries:	r-devel: argo_3.0.1.zip, r-release: argo_3.0.1.zip, r-oldrel: argo_3.0.1.zip
macOS binaries:	r-release (arm64): argo_3.0.1.tgz, r-oldrel (arm64): argo_3.0.1.tgz, r-release (x86_64): argo_3.0.1.tgz, r-oldrel (x86_64): argo_3.0.1.tgz
Old sources:	argo archive

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