Package: argo 3.0.2

Shihao Yang

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, Shihao Yang, S. C. Kou

argo_3.0.2.tar.gz
argo_3.0.2.zip(r-4.7-any)argo_3.0.2.zip(r-4.6-any)argo_3.0.2.zip(r-4.5-any)
argo_3.0.2.tgz(r-4.6-any)argo_3.0.2.tgz(r-4.5-any)
argo_3.0.2.tar.gz(r-4.7-any)argo_3.0.2.tar.gz(r-4.6-any)
argo_3.0.2.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://epiverse-connect.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 390 downloads 17 exports 15 dependencies

Last updated from:cd77311a40. Checks:9 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-develOK170
source / vignettesOK238
linux-releaseOK158
macos-releaseOK116
macos-oldrelOK121
windows-develOK112
windows-releaseOK98
windows-oldrelOK117
wasm-releaseOK125

Exports:argoargo_mainargo2argo2_mainargox_mainboot_rebootstrap_relative_efficiencyheatmap_argoheatmap_corload_dataload_reg_datalogitlogit_invparse_gt_weeklyparse_unrevised_iliplot_argosummary_argo

Dependencies:bootcodetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvivalXMLxtablextszoo