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argo  

Accurate Estimation of Influenza Epidemics using Google Search Data
View on CRAN: Click here


Download and install argo package within the R console
Install from CRAN:
install.packages("argo")

Install from Github:
library("remotes")
install_github("cran/argo")

Install by package version:
library("remotes")
install_version("argo", "3.0.3")



Attach the package and use:
library("argo")
Maintained by
Shihao Yang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-04-05
Latest Update: 2023-05-24
Description:
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) ; Ning, S., Yang, S. and Kou, S.C. (2019) ; Yang, S., Ning, S. and Kou, S.C. (2021) .
How to cite:
Shihao Yang (2019). argo: Accurate Estimation of Influenza Epidemics using Google Search Data. R package version 3.0.3, https://cran.r-project.org/web/packages/argo. Accessed 26 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:18), 2.0.0 (2019-04-05 13:02), 2.0.2 (2020-04-25 17:50), 3.0.1 (2021-02-24 07:30), 3.0.2 (2023-05-24 13:20)
Other packages that cited argo R package
View argo citation profile
Other R packages that argo depends, imports, suggests or enhances
Complete documentation for argo
Functions, R codes and Examples using the argo R package
Some associated functions: argo . argo2 . argo2_main . argo_main . argox_main . boot_re . bootstrap_relative_efficiency . gt.parser.pub.api . gt.parser.pub.web . heatmap_argo . heatmap_cor . load_data . load_reg_data . logit . logit_inv . parse_gt_weekly . parse_unrevised_ili . plot_argo . summary_argo . 
Some associated R codes: boot.R . constructor.R . dataparsing.R . main.R . plot.R . summary.R . util.R .  Full argo package functions and examples
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