Fast computation of the distance covariance dcov
and distance correlation dcor
. The computation cost is only O(n log(n)) for the distance correlation (see Chaudhuri, Hu, 2019, arXiv, elsevier). The functions are written entirely in C++ to speed up the computation.
install.packages("dccpp")
Install from GitHub
# install.packages("remotes")
remotes::install_github("BerriJ/dccpp")
Usage
dcov(x, y) # To calculate the distance covariance
dcor(x, y) # To calculate the distance correlation
Contributions and Issues
Feel free to raise an issue if you find something not working properly.
You are also very welcome to contribute to dcccp
. Please base your pull requests on the development branch. Note that this package focuses on performance, PRâs that improve the performance are particularly welcome.
GNU General Public License (⥠3)
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