lomb: Lomb-Scargle Periodogram

Computes the Lomb-Scargle Periodogram for unevenly sampled time series. Includes a randomization procedure to obtain exact p-values.

Version: 2.2.0
Imports: ggplot2, gridExtra, plotly, pracma
Suggests: testthat (≥ 3.0.0)
Published: 2024-01-26
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_2.2.0.tar.gz
Windows binaries: r-devel: lomb_2.2.0.zip, r-release: lomb_2.2.0.zip, r-oldrel: lomb_2.2.0.zip
macOS binaries: r-release (arm64): lomb_2.2.0.tgz, r-oldrel (arm64): lomb_2.2.0.tgz, r-release (x86_64): lomb_2.2.0.tgz
Old sources: lomb archive

Reverse dependencies:

Reverse depends: RHRV
Reverse imports: spectr, zeitgebr


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