trendseries: Extract Trends from Time Series

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>.

Version: 1.2.0
Depends: R (≥ 4.1.0)
Imports: cli, dlm, glue, hpfilter, lubridate, mFilter, RcppRoll, stats, tibble, tsbox
Suggests: dplyr, ggplot2, knitr, rmarkdown, scales, testthat (≥ 3.0.0), tidyr, xts
Published: 2026-05-02
DOI: 10.32614/CRAN.package.trendseries
Author: Vinicius Oike [aut, cre, cph]
Maintainer: Vinicius Oike <viniciusoike at gmail.com>
BugReports: https://github.com/viniciusoike/trendseries/issues
License: MIT + file LICENSE
URL: https://github.com/viniciusoike/trendseries, https://viniciusoike.github.io/trendseries/
NeedsCompilation: no
Language: en-US
Materials: README, NEWS
In views: TimeSeries
CRAN checks: trendseries results

Documentation:

Reference manual: trendseries.html , trendseries.pdf
Vignettes: Moving Averages for Trend Analysis (source, R code)
Getting Started with trendseries (source, R code)

Downloads:

Package source: trendseries_1.2.0.tar.gz
Windows binaries: r-devel: trendseries_1.2.0.zip, r-release: trendseries_1.1.0.zip, r-oldrel: trendseries_1.1.0.zip
macOS binaries: r-release (arm64): trendseries_1.2.0.tgz, r-oldrel (arm64): trendseries_1.2.0.tgz, r-release (x86_64): trendseries_1.2.0.tgz, r-oldrel (x86_64): trendseries_1.2.0.tgz
Old sources: trendseries archive

Linking:

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