Provides adaptive trend estimation, cycle detection, Fourier harmonic selection, bootstrap confidence intervals, change-point detection, and rolling-origin forecasting. Supports LOESS (Locally Estimated Scatterplot Smoothing), GAM (Generalized Additive Model), and GAMM (Generalized Additive Mixed Model), and automatically handles irregular sampling using the Lomb-Scargle periodogram. Methods implemented in this package are described in Cleveland et al. (1990) <doi:10.2307/2289548>, Wood (2017) <doi:10.1201/9781315370279>, and Scargle (1982) <doi:10.1086/160554>.
| Version: | 0.3.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | blocklength, fANCOVA, ggplot2, lomb, changepoint, mgcv, nortest, nlme, tseries |
| Suggests: | testthat (≥ 3.0.0), knitr, rmarkdown |
| Published: | 2026-01-26 |
| DOI: | 10.32614/CRAN.package.cycleTrendR |
| Author: | Pietro Piu [aut, cre] |
| Maintainer: | Pietro Piu <pietro.piu.si at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/PietroPiu-labstats/cycleTrendR, https://pietropiu-labstats.github.io/cycleTrendR/ |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | cycleTrendR results |
| Reference manual: | cycleTrendR.html , cycleTrendR.pdf |
| Vignettes: |
cycleTrendR-overview (source, R code) cycleTrendR in practice (source, R code) |
| Package source: | cycleTrendR_0.3.0.tar.gz |
| Windows binaries: | r-devel: cycleTrendR_0.2.0.zip, r-release: cycleTrendR_0.2.0.zip, r-oldrel: cycleTrendR_0.2.0.zip |
| macOS binaries: | r-release (arm64): cycleTrendR_0.3.0.tgz, r-oldrel (arm64): cycleTrendR_0.3.0.tgz, r-release (x86_64): cycleTrendR_0.3.0.tgz, r-oldrel (x86_64): cycleTrendR_0.3.0.tgz |
| Old sources: | cycleTrendR archive |
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