Computes the Lomb-Scargle Periodogram for unevenly sampled time series. Includes a randomization procedure to obtain exact p-values.
| Version: | 2.1.0 |
| Imports: | ggplot2, gridExtra, plotly, pracma |
| Published: | 2022-02-22 |
| Author: | Thomas Ruf, partially based on C original by Press et al. (Numerical Recipes) and the Python module Astropy. |
| Maintainer: | Thomas Ruf <Thomas.Ruf at vetmeduni.ac.at> |
| License: | GPL (≥ 3) |
| NeedsCompilation: | no |
| Citation: | lomb citation info |
| In views: | TimeSeries |
| CRAN checks: | lomb results |
| Reference manual: | lomb.pdf |
| Package source: | lomb_2.1.0.tar.gz |
| Windows binaries: | r-devel: lomb_2.1.0.zip, r-release: lomb_2.1.0.zip, r-oldrel: lomb_2.1.0.zip |
| macOS binaries: | r-release (arm64): lomb_2.1.0.tgz, r-oldrel (arm64): lomb_2.1.0.tgz, r-release (x86_64): lomb_2.1.0.tgz, r-oldrel (x86_64): lomb_2.1.0.tgz |
| Old sources: | lomb archive |
| Reverse depends: | RHRV |
| Reverse imports: | spectr, zeitgebr |
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