svdataman/sour: Cross-correlation of time series (which may be unevenly sampled)
Version 0.0.0.9000

Estimate the cross-correlation between two time series which may be irregularly and/or non-simultaneously sampled. The CCF is computed using one of two methods: (1) the Discrete Correlation Function (DCF; Edelson & Krolik 1988) or (2) the Interpolated Cross Correlation Function (ICCF; Gaskell & Sparke 1986). You can also produce estimates of uncertainty on the CCF, its peak and centroid using the Flux Randomisation and Random Subsample Selection (FR/RSS) method of Peterson et al. (1998).

Getting started

Package details

Maintainer
LicenseMIT + file LICENSE
Version0.0.0.9000
URL https://github.com/svdataman/sour
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("svdataman/sour")
svdataman/sour documentation built on April 6, 2018, 11:13 a.m.