The coefficient of L-variation is computed by Lcomoment.coefficients(L1,L2) where L1 is a 1st-order L-moment matrix and L2 is a $k = 2$ L-comoment matrix. Symbolically, the coefficient of L-covariation is $$\hat{\tau}_{[12]} = \frac{\hat{\lambda}_{2[12]}}
{\hat{\lambda}_{1[12]}} \mbox{.}$$
The higher L-comoment coefficients (L-coskew, L-cokurtosis, ...) are computed by the function Lcomoment.coefficients(L3,L2) ($k=3$), Lcomoment.coefficients(L4,L2) ($k=4$), and so on. Symbolically, the higher L-comoment coefficients are
$$\hat{\tau}_{k[12]} = \frac{\hat{\lambda}_{k[12]}}
{\hat{\lambda}_{2[12]}}
\mbox{, for } k \ge 3 \mbox{.}$$
Finally, the usual univariate L-moment ratios as seen from lmom.ub or lmoms are along the diagonal. The Lcomoment.coefficients function does not make use of lmom.ub or lmoms.