Tests for Determining if the Covariance Structure of 2-Dimensional Data is Separable
Overview
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 et al. (2017) doi:10.1214/16-AOS1495 doi:10.48550/arXiv.1505.02023.
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK7 OK2026-06-27
- NOTE12 OK, 2 NOTE2026-03-10
Documentation
- Help pages
- 15includes a package overview page
- Examples that run
- 100%13 run in a plain check
- Exported functions with examples
- 100%
- Documented parameters
- 97%
- Return-value docs
- 100%
- Help pages citing references
- 47%
Downloads
Dependencies
Installing covsep adds 1 package (1 with compiled code, 1.0 MB of source tarballs). Heaviest: mvtnorm 1.0 MB.
Code & Tests
Datasets
People & History
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- unarchivedReturned to CRAN2026-06-26
- 1.1.1Latest
- archivedRemoved from CRAN2026-05-04email to the maintainer is undeliverable
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- 1.1.02018-05-06 · diff ↗
- RR 3.5.0 released · 2018-04-23
- RR 3.4.0 released · 2017-04-21
- RR 3.3.0 released · 2016-05-03
- 1.0.02016-01-28
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- RR 3.2.0 released · 2015-04-16
Package metadata
- First published
- 2016-01-28
- Total releases
- 3 / 10 yrs
- License
- GPL-2 OSI
- Minimum R
- ≥ 3.2.3
- Bundled data
- 92 KB / 3 files
- Download size
- 105 KB
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