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Provides a pipeline of tools for analysing circadian time-series data using functional data analysis (FDA). The package supports smoothing of rhythmic time series, functional principle component analysis (FPCA), and extraction of group-level traits from functional representations. Analyses can incorporate multiple curve derivatives and optional temporal segmentation, enabling comparative analysis of circadian dynamics across experimental groups and time windows.
| Version: | 1.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, pracma, lomb, fda, fdaoutlier |
| Published: | 2026-02-20 |
| DOI: | 10.32614/CRAN.package.TimeTraits |
| Author: | Sarah Lock [aut, cre] |
| Maintainer: | Sarah Lock <sarah.lock at york.ac.uk> |
| BugReports: | https://github.com/scllock/TimeTraits/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/scllock/TimeTraits |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | TimeTraits results |
| Reference manual: | TimeTraits.html , TimeTraits.pdf |
| Package source: | TimeTraits_1.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: TimeTraits_1.1.0.zip, r-oldrel: not available |
| macOS binaries: | r-release (arm64): TimeTraits_1.1.0.tgz, r-oldrel (arm64): TimeTraits_1.1.0.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available |
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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.