ingredients, iBreakDown, gistr, jsonlite, plumber, parallel,
utils, stats, methods, auditor, DALEX (>= 1.3.0), fairmodels,
graphics

Activated Region Fitting, fMRI data analysis (3D).
R (>= 2.15.0), methods, graphics, tcltk, corpcor
Activated Region Fitting (ARF) is an analysis method for fMRI data.

Activated Region Fitting (ARF) is an analysis method for
fMRI data.

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.

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.

Fractional ARIMA (and Other Long Memory) Time Series Modeling
c(person("Justin Q.", "Veenstra", role = c("aut", "cre"),
email = "justin.veenstra@gmail.com"),
person("A.I.", "McLeod", role = "aut"))
Justin Q. Veenstra [aut, cre],
A.I. McLeod [aut]
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.

c(person("JQ (Justin)", "Veenstra", role = c("aut", "cre"),
email = "jqveenstra@gmail.com"),
person("A.I.", "McLeod", role = "aut"))
JQ (Justin) Veenstra [aut, cre],
A.I. McLeod [aut]

JQ (Justin) Veenstra [aut, cre], A.I. McLeod [aut]
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.
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.

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 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>.
xts, glmnet, zoo, XML, xtable, Matrix, boot