Learn R Programming

argo (version 3.0.3)

Accurate Estimation of Influenza Epidemics using Google Search Data

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) .

Copy Link

Version

Install

install.packages('argo')

Monthly Downloads

374

Version

3.0.3

License

GPL-2

Maintainer

Shihao Yang

Last Published

November 23rd, 2025

Functions in argo (3.0.3)

plot_argo

Time series plot of ARGO applied on CDC's ILI data
logit_inv

inverse logit function
parse_gt_weekly

Parsing of Google Trends data
heatmap_cor

Heatmap plot of correlation matrix
load_data

Parsing of raw data
boot_re

wrapper for bootstrap relative efficiency confidence interval
gt.parser.pub.web

Parsing each Google Trends file downloaded from website
argox_main

main function for argox
heatmap_argo

Heatmap plot of ARGO coefficients applied on CDC's ILI data
bootstrap_relative_efficiency

bootstrap relative efficiency confidence interval
argo

Construct ARGO object
argo_main

main function for argo
argo2

ARGO second step
gt.parser.pub.api

Parsing each Google Trends file downloaded from Google Trends API
argo2_main

main function for argo2
parse_unrevised_ili

Parsing of unrevised ili from online source
load_reg_data

Parsing of raw data for regional ILI estimation
logit

logit function
summary_argo

performance summary of ARGO applied on CDC's ILI data