Package: trendseries
Type: Package
Title: Extract Trends from Time Series
Version: 1.4.0
Description: Provides a unified interface to extract trends, cycles, and
    seasonal components from monthly and quarterly time series using
    established econometric filters and smoothing methods, with
    frequency-aware defaults for common economic frequencies.
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-US
LazyData: true
URL: https://github.com/viniciusoike/trendseries,
        https://viniciusoike.github.io/trendseries/
BugReports: https://github.com/viniciusoike/trendseries/issues
Imports: cli, dlm, hpfilter, lubridate, mFilter, RcppRoll, rlang,
        stats, tibble, tsbox
Depends: R (>= 4.1.0)
RoxygenNote: 7.3.3
Suggests: dplyr, ggplot2 (>= 4.0.0), knitr, rmarkdown, scales,
        seasonal, testthat (>= 3.0.0), tidyr, xts
VignetteBuilder: knitr
Config/testthat/edition: 3
Authors@R: 
    person("Vinicius", "Oike", , "viniciusoike@gmail.com", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0009-0005-8015-9189"))
NeedsCompilation: no
Packaged: 2026-07-14 01:00:53 UTC; viniciusreginatto
Author: Vinicius Oike [aut, cre, cph] (ORCID:
    <https://orcid.org/0009-0005-8015-9189>)
Maintainer: Vinicius Oike <viniciusoike@gmail.com>
Repository: CRAN
Date/Publication: 2026-07-14 02:20:02 UTC
Built: R 4.6.1; ; 2026-09-02 03:52:30 UTC; windows
