Compute Cholesky Root of Matrix

This decomposition is a mathematical method for taking the square root of a symmetric matrix. The Cholesky root of a matrix A is L, where A = LL`, and L is a lower-triangular matrix. It is useful in QTL analysis because it allows modeling of a pedigree-induced covariance structure via a mixed model.

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Check this box to output the Cholesky decomposition of the kinship or covariance matrix.

Note: If this box is not checked, the original kinship or covariance matrix is included in the output data set.