lssa
A package implementing tools to compute spectral decompositions of irregularly-spaced time series. Currently includes functions based off the Lomb-Scargle periodogram and Adolf Mathias' implementation for R and C (see URLs).
Select category:
Windowing
Periodogram
Accelerated time-series functions
Complex time-series functions
Real time-series functions
Correlation
Wavelet Transform
Returns the input series, windowed by a polynomial similar to a Hanning window.
Return the Lomb Periodogram value at one frequency for a time series.
Return the normalized Lomb Periodogram value at one frequency for a time series.
Return a series of least-squares transforms of a complex time series via a divide and conquer algorithm.
Return a series of least-squares transforms of a complex-valued time series.
Return a series of least-squares transforms of a real-valued time series.
Return the coefficient of the wavelet correlation of two complex time series.
Return the wavelet transform of a complex time series in a given window.
Package: lssa