trendseries: Extract Trends from Time Series

Provides a unified interface to extract trends, cycles, and seasonal components from monthly and quarterly time series using established filters and smoothers from econometrics and signal extraction, with frequency-aware defaults for common economic frequencies. Rolling and year-to-date aggregations are also available, including the compounded accumulation of rates of change.

Version:	1.7.0
Depends:	R (≥ 4.1.0)
Imports:	cli, dlm, hpfilter, lubridate, mFilter, RcppRoll, rlang, stats, tibble, tsbox, vctrs
Suggests:	dplyr, ekioplot, ggplot2 (≥ 4.0.0), knitr, rmarkdown, scales, seasonal, testthat (≥ 3.0.0), tidyr, tsibble
Published:	2026-10-01
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:	Getting Started with trendseries (source, R code)

Downloads:

Package source:	trendseries_1.7.0.tar.gz
Windows binaries:	r-devel: trendseries_1.4.0.zip, r-release: trendseries_1.4.0.zip, r-oldrel: trendseries_1.4.0.zip
macOS binaries:	r-release (arm64): trendseries_1.4.0.tgz, r-oldrel (arm64): trendseries_1.4.0.tgz, r-release (x86_64): trendseries_1.7.0.tgz, r-oldrel (x86_64): trendseries_1.7.0.tgz
Old sources:	trendseries archive

Reverse dependencies:

Reverse suggests:

realestatebr

Linking:

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