mrds: solvecov – R documentation

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solvecov

Invert of covariance matrices

Description

Tries to invert a matrix by solve. If this fails because of singularity, an eigenvector decomposition is computed, and eigenvalues below 1/cmax are replaced by 1/cmax, i.e., cmax will be the corresponding eigenvalue of the inverted matrix.

Usage

solvecov(m, cmax = 1e+10)

Arguments

`m`	a numeric symmetric matrix.
`cmax`	a positive value, see above.

Value

A list with the following components: inv the inverted matrix, coll TRUE if solve failed because of singularity.

Source

solvecov code was taken from package fpc: Christian Hennig

Author(s)

Christian Hennig