Title: Fractional ARIMA (and Other Long Memory) Time Series Modeling
Authors@R: c(person("Justin Q.", "Veenstra", role = c("aut", "cre"),
Maintainer: Justin Q. Veenstra <justin.veenstra@gmail.com>
Description: Simulates, fits, and predicts long-memory and anti-persistent time
series, possibly mixed with ARMA, regression, transfer-function components.
Exact methods (MLE, forecasting, simulation) are used.

Authors@R: c(person("JQ (Justin)", "Veenstra", role = c("aut", "cre"),
Maintainer: JQ (Justin) Veenstra <jqveenstra@gmail.com>
Author: JQ (Justin) Veenstra [aut, cre],

Author: JQ (Justin) Veenstra [aut, cre], A.I. McLeod [aut]
Description: Simulates, fits, and predicts long-memory and anti-persistent
time series, possibly mixed with ARMA, regression, transfer-function
Bug reports should be done via GitHub (at
<https://github.com/JQVeenstra/arfima>), where the development version
of this package lives; it can be installed using devtools.

Title: Accurate Estimation of Influenza Epidemics using Google Search
Author: Shaoyang Ning, Shihao Yang, S. C. Kou
Description: Augmented Regression with General Online data (ARGO) for accurate estimation of influenza epidemics in United States on both national level and regional level. It replicates the method introduced in paper Yang, S., Santillana, M. and Kou, S.C. (2015) <doi:10.1073/pnas.1515373112> and Ning, S., Yang, S. and Kou, S.C. (2019) <doi:10.1038/s41598-019-41559-6>.
Imports: xts, glmnet, zoo, XML, xtable, Matrix, boot
Packaged: 2019-04-04 17:03:57 UTC; shihaoyang

Packaged: 2020-04-25 12:51:30 UTC; shihaoyang

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) <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>.
Packaged: 2021-02-24 01:18:28 UTC; shihaoyang