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: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): trendseries_1.1.0.tgz, r-oldrel (x86_64): not available

Linking:

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