covsep (1.1.0)

0 users

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. .

Maintainer: Shahin Tavakoli
Author(s): Shahin Tavakoli [aut, cre], Davide Pigoli [ctb], John Aston [ctb]

License: GPL-2

Uses: mvtnorm

Released over 1 year ago.

1 previous version



  (0 votes)


  (0 votes)

Log in to vote.


No one has written a review of covsep yet. Want to be the first? Write one now.

Related packages: fda, fpca, rainbow, fds, ftsa, geofd, refund, fda.usc, dbstats, fdasrvf, ddalpha, switchnpreg, fdatest, fdakma, SCBmeanfd, GPFDA, FDboost, growfunctions, funHDDC, funFEM(20 best matches, based on common tags.)

Search for covsep on google, google scholar, r-help, r-devel.

Visit covsep on R Graphical Manual.