periodlikely
Periodlikely is a term used to describe the extent to which a time series exhibits a repeating pattern with a given period. In this usage, periodlikely refers to a probability or probability-like measure indicating how likely it is that a periodic component is present, as opposed to a signal driven by noise, trend, or irregular fluctuations. The term is not a standard statistic in published literature, but it is used informally in data analysis to summarize evidence for periodicity at a chosen period.
Estimation typically involves comparing models that include a periodic component to models that do not. A common
Applications of periodlikely span fields such as climatology, economics, biology, and engineering, where detecting cycles or
related concepts include periodograms, spectral density estimates, and Lomb-Scargle analysis, which help identify candidate periods before