Description: Flexible and robust estimation and inference of generalised autoregressive conditional heteroscedasticity (GARCH) models with covariates ('X') based on the results by Francq and Thieu (2018) <doi:10.1017/S0266466617000512>. Coefficients can straightforwardly be set to zero by omission, and quasi maximum likelihood methods ensure estimates are generally consistent and inference valid, even when the standardised innovations are non-normal and/or dependent over time.

Description: Flexible and robust estimation and inference of generalised autoregressive conditional heteroscedasticity (GARCH) models with covariates ('X') based on the results by Francq and Thieu (2018) <doi:10.1017/S0266466617000512>. Coefficients can straightforwardly be set to zero by omission, and quasi maximum likelihood methods ensure estimates are generally consistent and inference valid, even when the standardised innovations are non-normal and/or dependent over time, see <https://journal.r-project.org/archive/2021/RJ-2021-057/RJ-2021-057.pdf> for an overview of the package.

Title: Utilities for Working with Google APIs
Description: Provides utilities for working with Google APIs
functions and classes for handling common credential types and for
preparing, executing, and processing HTTP requests.
Suggests: covr, knitr, rmarkdown, sodium, testthat
Author: Jennifer Bryan [aut, cre] (<https://orcid.org/0000-0002-6983-2759>),

Suggests: covr, knitr, rmarkdown, sodium, testthat (>= 2.1.0)

Suggests: covr, knitr, rmarkdown, sodium, spelling, testthat (>= 2.3.2)

1.4.0), jsonlite, rappdirs, rlang (>= 0.4.9), rstudioapi,
Suggests: covr, httpuv, knitr, mockr, rmarkdown, sodium, spelling,

Suggests: aws.ec2metadata, aws.signature, covr, httpuv, knitr, mockr,
rmarkdown, sodium, spelling, testthat (>= 3.0.0)

person("Craig", "Citro", , "craigcitro@google.com", role = "aut"),
person("Hadley", "Wickham", , "hadley@rstudio.com", role = "aut",
1.4.0), jsonlite, rappdirs, rlang (>= 1.0.0), rstudioapi,
rmarkdown, sodium, spelling, testthat (>= 3.1.2)