Gonjo                   AMS data of the Gonjo Basin
TFORGE-package          TFORGE: Tests for Geophysical Eigenvalues
boot_calib              Bootstrap calibration for single-sample and
                        k-sample tests
chisq_calib             Chi Squared Calibration for Testing
conf_fixedtrace         Eigenvalue confidence region under fixed trace
                        constraint
conf_ss1fixedtrace      Eigenvalue confidence interval under trace=0
                        and sum of square constraint
cov_evals               Compute the Covariance of Eigenvalues
estimate_OIcov          Estimate parameters of orthogonally invariant
                        covariance
fsm                     Flat storage of symmetric matrices
has_fixedtrace          Check if the supplied sample(s) have fixed
                        trace
has_ss1                 Check whether the supplied sample(s) have equal
                        sum of squared eigenvalues
normalise_ss1           Normalise so that Sum of Squared Eigenvalues is
                        One
normalise_trace         Scale symmetric matrices to have trace of one
project_trace           Project diagonal elements to have trace of zero
rsymm_norm              Simulate Symmetric Matrices with Multivariate
                        Normal Elements
rsymm_t                 Simulate Symmetric Matrices with Multivariate t
                        Elements
test_fixedtrace         Test for eigenvalues when trace is fixed
test_multiplicity       Test eigenvalue multiplicity
test_multiplicity_OI    Test of eigenvalue multiplicity assuming
                        orthogonally invariant covariance
test_ss1                Test for eigenvalues when sum of squared
                        eigenvalues is 1
test_ss1fixedtrace      Test eigenvalues when trace=0 and sum of square
                        eigenvalues = 1
test_unconstrained      Pivotal bootstrap test of mean eigenvalues
test_unconstrained_aGOE
                        Two Sample Test of Equal Eigenvalues Using GOE
                        Approximation
vecd                    Flatten a symmetric matrix into a vector
                        preserving Frobenius norm.
vech                    Flatten a symmetric matrix into a vector.
