Imports: graphics, stats, grDevices, mnormt

Imports: graphics, stats, grDevices, mnormt, testthat

Suggests: highlight, markdown, knitr, rmarkdown, ggplot2, dplyr, tidyr
VignetteBuilder: knitr, ggplot2, dplyr, tidyr

Suggests: markdown, knitr, rmarkdown, ggplot2, dplyr, tidyr, pander,
VignetteBuilder: knitr, ggplot2, dplyr, tidyr, pander, bookdown

person("Kirill", "Müller", role = c("aut")))
Description: Tools to read, write, create, and manipulate DESCRIPTION files.
It is intended for packages that create or manipulate other packages.
Collate: 'assertions.R' 'authors-at-r.R' 'classes.R' 'collate.R'
'constants.R' 'deps.R' 'description.R' 'encoding.R' 'latex.R'
'non-oo-api.R' 'read.R' 'str.R' 'syntax_checks.R' 'utils.R'
Packaged: 2016-05-13 21:43:36 UTC; gaborcsardi

Packaged: 2016-09-22 18:25:27 UTC; gaborcsardi

Imports: assertthat, utils, R6, crayon, rprojroot
'str.R' 'syntax_checks.R' 'urls.R' 'utils.R' 'validate.R'
Packaged: 2017-01-26 10:48:19 UTC; gaborcsardi

Packaged: 2017-08-03 09:45:28 UTC; gaborcsardi

person("Kirill", "Müller", role = c("aut")),
person("Jim", "Hester", email = "james.f.hester@gmail.com", role = c("aut")))
Collate: 'assertions.R' 'authors-at-r.R' 'built.R' 'classes.R'
'collate.R' 'constants.R' 'deps.R' 'description.R' 'encoding.R'
'remotes.R' 'str.R' 'syntax_checks.R' 'urls.R' 'utils.R'
Packaged: 2018-05-01 20:22:08 UTC; gaborcsardi

Suggests: covr, testthat, whoami, withr, spelling, gh
Packaged: 2021-03-05 18:50:38 UTC; gaborcsardi

Packaged: 2021-09-27 17:26:10 UTC; gaborcsardi

person("Kirill", "Müller", role = "aut"),
person("Jim", "Hester", , "james.f.hester@gmail.com", role = "aut"),
Description: Tools to read, write, create, and manipulate DESCRIPTION
files.  It is intended for packages that create or manipulate other
Suggests: callr, covr, gh, spelling, testthat, whoami, withr
'syntax_checks.R' 'urls.R' 'utils.R' 'validate.R' 'version.R'
Packaged: 2022-03-06 12:49:04 UTC; gaborcsardi

Packaged: 2022-09-08 09:02:11 UTC; gaborcsardi

Title: Seasonal adjustment by frequency analysis
Description: Decompose a time series into seasonal, trend and irregular components using transformations to amplitude-frequency domain.