gTests-package: Graph-Based Two-Sample Tests

In gTests: Graph-Based Two-Sample Tests

Description

This package includes four graph-based two-sample tests under the continuous setting and the discrete setting.

Author(s)

Hao Chen and Jingru Zhang

Maintainer: Hao Chen ([e-mail])

References

Friedman J. and Rafsky L. (1979). Multivariate generalizations of the WaldWolfowitz and Smirnov two-sample tests. The Annals of Statistics 7(4):697-717.

Chen, H. and Zhang, N. R. (2013). Graph-based tests for two-sample comparisons of categorical data. Statistica Sinica 23:1479-1503.

Chen, H. and Friedman, J. H. (2017). A new graph-based two-sample test for multivariate and object data. Journal of the American Statistical Association, 112:517, 397-409.

Chen, H., Chen, X. and Su, Y. (2017). A weighted edge-count two sample test for multivariate and object data. Journal of the American Statistical Association.

Zhang, J. and Chen, H. (2017). Graph-based two-sample tests for discrete data. arXiv:1711.04349

See Also

g.tests g.tests_discrete getGraph

gTests documentation built on May 2, 2019, 9:15 a.m.