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

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

cli (>= 2.3.1), fs (>= 1.3.1), glue (>= 1.3.0), httr (>=
1.4.0), jsonlite, rappdirs, rlang (>= 0.4.9), rstudioapi,
stats, withr
covr, httpuv, knitr, mockr, rmarkdown, sodium, spelling,
testthat (>= 3.0.0)

cli (>= 3.0.0), fs (>= 1.3.1), glue (>= 1.3.0), httr (>=
1.4.0), jsonlite, rappdirs, rlang (>= 0.4.9), rstudioapi,
stats, utils, withr
aws.ec2metadata, aws.signature, covr, httpuv, knitr, mockr,
rmarkdown, sodium, spelling, testthat (>= 3.0.0)

c(
person("Jennifer", "Bryan", , "jenny@rstudio.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-6983-2759")),
person("Craig", "Citro", , "craigcitro@google.com", role = "aut"),
person("Hadley", "Wickham", , "hadley@rstudio.com", role = "aut",
comment = c(ORCID = "0000-0003-4757-117X")),
person("Google Inc", role = "cph"),
person("RStudio", role = c("cph", "fnd"))
)
cli (>= 3.0.0), fs (>= 1.3.1), glue (>= 1.3.0), httr (>=
1.4.0), jsonlite, rappdirs, rlang (>= 1.0.0), rstudioapi,
stats, utils, withr
aws.ec2metadata, aws.signature, covr, httpuv, knitr, mockr,
rmarkdown, sodium, spelling, testthat (>= 3.1.2)

An event-Based framework for building 'Shiny' apps.
Instead of relying on standard 'Shiny' reactive objects, this
package allow to relying on a lighter set of triggers, so that
reactive contexts can be invalidated with more control.

Fitting and Forecasting Gegenbauer ARMA Time Series Models
person("Richard", "Hunt", email = "maint@huntemail.id.au",
role = c("aut", "cre"))
Methods for estimating univariate long memory-seasonal/cyclical
Gegenbauer time series processes. See for example (2018) <doi:10.1214/18-STS649>.
Refer to the vignette for details of fitting these processes.
Rsolnp, pracma, signal, zoo, lubridate, crayon, utils, nloptr,
BB, GA, dfoptim, pso, FKF, tswge
longmemo, yardstick, tidyverse, testthat, knitr, rmarkdown

Methods for estimating long memory-seasonal/cyclical Gegenbauer univariate time series processes. See for example (2018) <doi:10.1214/18-STS649>.
Refer to the vignette for details of fitting these processes.
assertthat, zoo, forecast, lubridate, FKF, signal, pracma,
nloptr, Rsolnp, ggplot2, Rdpack (>= 0.7)
longmemo, tidyverse, BB, GA, pso, dfoptim, testthat, knitr,
rmarkdown