Package: BINCOR 0.2.0

BINCOR: Estimate the Correlation Between Two Irregular Time Series

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).

Authors:Josué M. Polanco-Martínez [aut, cph, cre], Mikko Korpela [ctb, trl], Aalto University [cph], Manfred Mudelsee [ctb]

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BINCOR.pdf |BINCOR.html
BINCOR/json (API)

# Install 'BINCOR' in R:
install.packages('BINCOR', repos = c('https://jomopo.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • ENSO.dat - Equatorial Pacific SST anomalies from El Niño 3 region.
  • ID31.dat - Unevenly-spaced pollen record from the marine sediments core (MD04-2845) collected on the southwestern European margin.
  • ID32.dat - Unevenly-spaced pollen record from the marine sediments core (MD95-2039) collected on the southwestern European margin.
  • NHSST.dat - Northern Hemisphere (NH) sea surface temperature (SST) anomalies.

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6 exports 1.00 score 1 dependencies 3 mentions 5 scripts 198 downloads

Last updated 6 years agofrom:4913990169. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 23 2024
R-4.5-winOKAug 23 2024
R-4.5-linuxOKAug 23 2024
R-4.4-winOKAug 23 2024
R-4.4-macOKAug 23 2024
R-4.3-winOKAug 23 2024
R-4.3-macOKAug 23 2024

Exports:bin_corccf_tscor_tsplot_tsredfitMinlsredfitTauest

Dependencies:pracma