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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 key econometric filters and modern parameter experimentation tools.

Version: 1.1.0
Depends: R (≥ 4.1.0)
Imports: cli, dlm, glue, hpfilter, lubridate, mFilter, RcppRoll, stats, tibble, tsbox
Suggests: dplyr, ggplot2, knitr, rmarkdown, testthat (≥ 3.0.0), tidyr, xts
Published: 2025-11-12
DOI: 10.32614/CRAN.package.trendseries (may not be active yet)
Author: Vinicius Oike [aut, cre]
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
Materials: README, NEWS
CRAN checks: trendseries results

Documentation:

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

Downloads:

Package source: trendseries_1.1.0.tar.gz
Windows binaries: r-devel: trendseries_1.1.0.zip, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): trendseries_1.1.0.tgz, r-oldrel (arm64): trendseries_1.1.0.tgz, r-release (x86_64): trendseries_1.1.0.tgz, r-oldrel (x86_64): trendseries_1.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=trendseries to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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