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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: | 3.0.2 |
Imports: | xts, glmnet, zoo, XML, xtable, Matrix, boot |
Suggests: | testthat |
Published: | 2023-05-24 |
DOI: | 10.32614/CRAN.package.argo |
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 |
Reference manual: | argo.pdf |
Package source: | argo_3.0.2.tar.gz |
Windows binaries: | r-devel: argo_3.0.2.zip, r-release: argo_3.0.2.zip, r-oldrel: argo_3.0.2.zip |
macOS binaries: | r-release (arm64): argo_3.0.2.tgz, r-oldrel (arm64): argo_3.0.2.tgz, r-release (x86_64): argo_3.0.2.tgz, r-oldrel (x86_64): argo_3.0.2.tgz |
Old sources: | argo archive |
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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.