| dHSIC-package {dHSIC} | R Documentation |
Independence Testing via Hilbert Schmidt Independence Criterion
Description
Contains an implementation of the d-variable Hilbert Schmidt independence criterion and several hypothesis tests based on it, as described in Pfister et al. (2017) <doi:10.1111/rssb.12235>.
Details
The DESCRIPTION file:
| Package: | dHSIC |
| Type: | Package |
| Title: | Independence Testing via Hilbert Schmidt Independence Criterion |
| Version: | 2.1 |
| Date: | 2019-01-04 |
| Author: | Niklas Pfister and Jonas Peters |
| Maintainer: | Niklas Pfister <pfister@stat.math.ethz.ch> |
| Description: | Contains an implementation of the d-variable Hilbert Schmidt independence criterion and several hypothesis tests based on it, as described in Pfister et al. (2017) <doi:10.1111/rssb.12235>. |
| License: | GPL-3 |
| Imports: | Rcpp (>= 0.12.18) |
| LinkingTo: | Rcpp |
Index of help topics:
dHSIC-package Independence Testing via Hilbert Schmidt
Independence Criterion
dhsic d-variable Hilbert Schmidt independence
criterion - dHSIC
dhsic.test Independence test based on dHSIC
Author(s)
Niklas Pfister and Jonas Peters
Maintainer: Niklas Pfister <pfister@stat.math.ethz.ch>
References
Gretton, A., K. Fukumizu, C. H. Teo, L. Song, B. Sch\"olkopf and A. J. Smola (2007). A kernel statistical test of independence. In Advances in Neural Information Processing Systems (pp. 585-592).
Pfister, N., P. B\"uhlmann, B. Sch\"olkopf and J. Peters (2017). Kernel-based Tests for Joint Independence. To appear in the Journal of the Royal Statistical Society, Series B.
[Package dHSIC version 2.1 Index]