Package: argo 3.0.2

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

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argo/json (API)

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

Peer review:

On CRAN:

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

17 exports 2 stars 0.23 score 15 dependencies 5 scripts 329 downloads

Last updated 1 years agofrom:cd77311a40. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 01 2024
R-4.5-winOKSep 01 2024
R-4.5-linuxOKSep 01 2024
R-4.4-winOKSep 01 2024
R-4.4-macOKSep 01 2024
R-4.3-winOKSep 01 2024
R-4.3-macOKSep 01 2024

Exports:argoargo_mainargo2argo2_mainargox_mainboot_rebootstrap_relative_efficiencyheatmap_argoheatmap_corload_dataload_reg_datalogitlogit_invparse_gt_weeklyparse_unrevised_iliplot_argosummary_argo

Dependencies:bootcodetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvivalXMLxtablextszoo