Package: trendseries
Type: Package
Title: Extract Trends from Time Series
Version: 1.2.0
Description: Extract trends from monthly and quarterly economic time series.
    Provides two main functions: augment_trends() for pipe-friendly 'tibble'
    workflows and extract_trends() for direct time series analysis. Includes
    established econometric filters such as Hodrick-Prescott (HP),
    Baxter-King, Christiano-Fitzgerald, and Hamilton, alongside moving
    averages and smoothing methods. Smart defaults are tuned for common
    economic frequencies following Ravn and Uhlig (2002)
    <doi:10.1162/003465302317411604>.
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, glue, hpfilter, lubridate, mFilter, RcppRoll, stats,
        tibble, tsbox
Depends: R (>= 4.1.0)
RoxygenNote: 7.3.3
Suggests: dplyr, ggplot2, knitr, rmarkdown, scales, 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"))
NeedsCompilation: no
Packaged: 2026-05-02 21:23:46 UTC; viniciusreginatto
Author: Vinicius Oike [aut, cre, cph]
Maintainer: Vinicius Oike <viniciusoike@gmail.com>
Repository: CRAN
Date/Publication: 2026-05-02 22:50:02 UTC
Built: R 4.5.3; ; 2026-05-20 03:30:13 UTC; windows
