Nothing
covsep: Tests for Determining if the Covariance Structure of 2-Dimensional Data is Separable
Functions for testing if the covariance structure of 2-dimensional data (e.g. samples of surfaces X_i = X_i(s,t)) is separable, i.e. if covariance(X) = C_1 x C_2. A complete descriptions of the implemented tests can be found in the paper Aston, John A. D.; Pigoli, Davide; Tavakoli, Shahin. Tests for separability in nonparametric covariance operators of random surfaces. Ann. Statist. 45 (2017), no. 4, 1431--1461. <doi:10.1214/16-AOS1495> <https://projecteuclid.org/euclid.aos/1498636862> <arXiv:1505.02023>.
Getting started
Browse package contents
Package details |
|
|---|---|
| Author | Shahin Tavakoli [aut, cre], Davide Pigoli [ctb], John Aston [ctb] |
| Maintainer | Shahin Tavakoli <s.tavakoli@warwick.ac.uk> |
| License | GPL-2 |
| Version | 1.1.0 |
| URL | http://arxiv.org/abs/1505.02023 |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the covsep package in your browser
Any scripts or data that you put into this service are public.
