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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: | 0.2.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | blocklength, fANCOVA, ggplot2, lomb, gridExtra, changepoint, mgcv, dplyr, nortest, nlme, magrittr, tseries |
| Suggests: | testthat, knitr, rmarkdown |
| Published: | 2026-01-22 |
| DOI: | 10.32614/CRAN.package.cycleTrendR (may not be active yet) |
| Author: | Pietro Piu [aut, cre] |
| Maintainer: | Pietro Piu <pietro.piu.si at gmail.com> |
| License: | GPL-3 |
| URL: | https://github.com/PietroPiu-labstats/cycleTrendR |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | cycleTrendR results |
| Reference manual: | cycleTrendR.html , cycleTrendR.pdf |
| Vignettes: |
cycleTrendR-overview (source, R code) |
| Package source: | cycleTrendR_0.2.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: not available |
| macOS binaries: | r-release (arm64): cycleTrendR_0.2.0.tgz, r-oldrel (arm64): cycleTrendR_0.2.0.tgz, r-release (x86_64): cycleTrendR_0.2.0.tgz, r-oldrel (x86_64): cycleTrendR_0.2.0.tgz |
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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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