BINCOR: Estimate the Correlation Between Two Irregular Time Series
Version 0.2.0

Estimate the correlation between two irregular time series that are not necessarily sampled on identical time points. This program is also applicable to the situation of two evenly spaced time series that are not on the same time grid. 'BINCOR' is based on a novel estimation approach proposed by Mudelsee (2010, 2014) to estimate the correlation between two climate time series with different timescales. The idea is that autocorrelation (AR1 process) allows to correlate values obtained on different time points. 'BINCOR' contains four functions: bin_cor() (the main function to build the binned time series), plot_ts() (to plot and compare the irregular and binned time series, cor_ts() (to estimate the correlation between the binned time series) and ccf_ts() (to estimate the cross-correlation between the binned time series).

Package details

AuthorJosué M. Polanco-Martínez [aut, cph, cre], Mikko Korpela [ctb, trl], Aalto University [cph], Manfred Mudelsee [ctb]
Date of publication2018-05-21 13:21:33 UTC
MaintainerJosué M. Polanco-Martínez <[email protected]>
LicenseGPL (>= 2)
Version0.2.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BINCOR")

Try the BINCOR package in your browser

Any scripts or data that you put into this service are public.

BINCOR documentation built on May 21, 2018, 5:03 p.m.