base (version 3.6.2)

chol2inv: Inverse from Choleski (or QR) Decomposition

Description

Invert a symmetric, positive definite square matrix from its Choleski decomposition. Equivalently, compute \((X'X)^{-1}\) from the (\(R\) part) of the QR decomposition of \(X\).

Usage

chol2inv(x, size = NCOL(x), LINPACK = FALSE)

Arguments

x

a matrix. The first size columns of the upper triangle contain the Choleski decomposition of the matrix to be inverted.

size

the number of columns of x containing the Choleski decomposition.

LINPACK

logical. Defunct and ignored (with a warning for true value).

Value

The inverse of the matrix whose Choleski decomposition was given.

Unsuccessful results from the underlying LAPACK code will result in an error giving a positive error code: these can only be interpreted by detailed study of the FORTRAN code.

References

Anderson. E. and ten others (1999) LAPACK Users' Guide. Third Edition. SIAM. Available on-line at http://www.netlib.org/lapack/lug/lapack_lug.html.

Dongarra, J. J., Bunch, J. R., Moler, C. B. and Stewart, G. W. (1978) LINPACK Users Guide. Philadelphia: SIAM Publications.

See Also

chol, solve.

Examples

# NOT RUN {
cma <- chol(ma  <- cbind(1, 1:3, c(1,3,7)))
ma %*% chol2inv(cma)
# }