dat2cov                 Sample covariance matrix of the data tensor.
elrt.alt                Test statistic based on the extended LRT for
                        sphericity testing under the alternative regime
elrt.null               Test statistic based on the extended LRT for
                        sphericity testing under the null
elrt.para               Parameters of the transformation for the
                        extended LRT statistic
elrt.power              Empirical power of the test based on the
                        extended LRT to the sample core under Gaussian
                        populations
elrt.power.dat          Empirical power of the test based on the
                        extended LRT to the sample core with the given
                        data
large.eig.alt           Test statistic based on the largest eigenvalue
                        of the sample core under the alternative regime
large.eig.null          Test statistic based on the largest eigenvalue
                        of the sample core under the null
large.eig.power         Empirical power of the test based on the
                        largest eigenvalue of the sample core under
                        Gaussian populations
large.eig.power.dat     Empirical power of the test based on the
                        largest eigenvalue of the sample core with the
                        given data
pi.core                 A covariance matrix with a partial-isotropy
                        rank-r core.
pi.rank1.core           Partial-isotropy rank-1 core
pi.rank2.core           Partial-isotropy rank-2 core
pi.rank_r.core          Partial-isotropy rank-r core.
sep.exp.alt             Test statistic based on the separable expansion
                        test under the alternative regime.
sep.exp.null            Test statistic based on the separable expansion
                        test under the null
sep.exp.power           Empirical power of the test based on the
                        separable expansion the sample core under
                        Gaussian populations
sep.exp.power.dat       Empirical power of the test based on the
                        separable expansion of the sample core with the
                        given data
sym.inv.root            Inverse symmetric square root
sym.root                Symmetric square root
tw.para                 Parameters of the transformation to obtain the
                        Tracy-Widom law
