| relfactorInv | R Documentation | 
Get inverse of the left Cholesky factor of the relationship
matrix for the pedigree ped.
relfactorInv(ped)
getLInv(ped)
ped | 
 
  | 
Note that the inverse of the left Cholesky factor is returned, which is lower triangular, that is from A = LL' (lower inv(A) = inv(LL') = inv(L)' inv(L) (upper triangular).
matrix (dtCMatrix - triangular sparse)
getLInv(): Inverse relationship factor from a pedigree
ped <- pedigree(sire = c(NA, NA, 1,  1, 4, 5),
                dam =  c(NA, NA, 2, NA, 3, 2),
                label = 1:6)
(LInv <- getLInv(ped))
solve(Matrix::t(getL(ped)))
# Test for correctness
LInvExp <- matrix(data = c( 1.0000,  0.0000,  0.0000,  0.0000,  0.0000, 0.0000,
                            0.0000,  1.0000,  0.0000,  0.0000,  0.0000, 0.0000,
                           -0.7071, -0.7071,  1.4142,  0.0000,  0.0000, 0.0000,
                           -0.5774,  0.0000,  0.0000,  1.1547,  0.0000, 0.0000,
                            0.0000,  0.0000, -0.7071, -0.7071,  1.4142, 0.0000,
                            0.0000, -0.7303,  0.0000,  0.0000, -0.7303, 1.4606),
                  byrow = TRUE, nrow = 6)
stopifnot(!any(abs(round(LInv, digits = 4) - LInvExp) > .Machine$double.eps))
L <- t(chol(getA(ped)))
LInvExp <- solve(L)
stopifnot(!any(abs(LInv - LInvExp) > .Machine$double.eps))
stopifnot(is(LInv, "sparseMatrix"))
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