ElliptCopulas 0.1.4

New features

New functions (written with Victor Ryan @VictorRyan12 ) :
- EllDistrDerivEst: nonparametric estimation of the derivatives of
  the generator of an elliptical distribution.
- EllDistrEst.adapt: adaptive nonparametric estimation of the generator
  of an elliptical distribution.
- estim_tilde_AMSE: estimate the component of the asymptotic mean-square error (AMSE)
  of the nonparametric estimator of the elliptical density generator that only
  depends on the parameter a.
EllDistrEst now works in a vectorized way, where a and/or h are vectors
of the same length as the grid on which the estimator is computed. Each value
of the grid is then estimated with the corresponding tuning parameters
(corresponding element of a and of h).
New option averaging = "random" for the function KTMatrixEst
corresponding to the averaging of a random set of entries in the off-diagonal blocks.
The output of KTMatrixEst now has colnames and rownames set to the names
if available in blockStructure.

Fixed a bug in KTMatrixEst
(whose output did not have ones on the diagonal, contrary to the documentation).
Fixed a bug in EllDistrEst when the variance matrix is not the identity.