a function which indicates what should happen when the data
contain 'NA's. Default is to fail.
Details
These functions compute the matrices of the form
$$
ave \{S(x_i) S^T(x_i)\}
$$
where \(S(x_i)\) are the appropriate scores of the data:
spatial signs, spatial symmetrized signs, spatial ranks or spatial
signed ranks. These are the so called outer standardization matrices
of location etc. tests based on spatial signs and ranks. They are
not affine equivariant.
SCov and SRCov require a location vector with respect
to which they are computed. If none is provided, SCov uses
spatial median and SRCov uses Hodges-Lehmann estimator.
References
Visuri, S., Koivunen, V. and Oja, H. (2000). Sign and rank covariance matrices. J. Statistical Planning and Inference, 91, 557-575.