Package: argo 3.0.3

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>.

Authors:Shaoyang Ning [aut], Shihao Yang [aut, cre], S. C. Kou [aut]

argo_3.0.3.tar.gz
argo_3.0.3.zip(r-4.7-any)argo_3.0.3.zip(r-4.6-any)argo_3.0.3.zip(r-4.5-any)
argo_3.0.3.tgz(r-4.6-any)argo_3.0.3.tgz(r-4.5-any)
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argo_3.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
argo/json (API)

# Install 'argo' in R:
install.packages('argo', repos = c('https://shihao-yang.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.41 score 2 stars 13 scripts 374 downloads 17 exports 15 dependencies

Last updated from:33748f6a2d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK204
source / vignettesOK168
linux-releaseOK171
macos-releaseOK126
macos-oldrelOK95
windows-develOK139
windows-releaseOK92
windows-oldrelOK103
wasm-releaseOK108

Exports:argoargo_mainargo2argo2_mainargox_mainboot_rebootstrap_relative_efficiencyheatmap_argoheatmap_corload_dataload_reg_datalogitlogit_invparse_gt_weeklyparse_unrevised_iliplot_argosummary_argo

Dependencies:bootcodetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvivalXMLxtablextszoo