FI                Observed Fisher information matrix for 
                  distributions in the MSMN, MSMSN, MSSMN
                  and MSMSNC classes.
choose2           Select a distribution in the MSMN, MSSMN, MSMSN 
                  or/and MSMSNC classes and perform covariates 
                  selection.
chooseM           Choose a distribution in the MSMN, MSMSN, MSSMN
                  and MSMSNC classes.
distMahal         Mahalanobis distance for fitted models in the
                  MSMN, MSMSN, MSSMN and MSMSNC classes.
dtgamma           Truncated gamma distribution.
estimateM         Fitting a model in the MSMN, MSMSN, MSSMN and
                  MSMSNC classes.
matrix.sqrt       Square root of a matrix.
mbackcrit         Multivariate backward based on the AIC or BIC
                  criteria.
mbacksign         Multivariate Backward Based on Significance.
plotskewMLRM      Plot the Mahalanobis distances for an object  
                  produced by the function distMahal
rM                Random generation for models in the MSMN,
                  MSMSN, MSSMN and MSMSNC classes.
solve2            Computes the inverse of a matrix.
summaryskewMLRM   Extract Model Coefficients in a skewMLRM 
                  fitted model
vcovskewMLRM      Calculate Variance-Covariance Matrix for a 
                  Fitted Model Object
vech              Vectorize a symmetric matrix.
xpnd              Reconstitute a symmetric matrix from a vector. 
