QLMDe                   Quantile Least Mahalanobis Distance estimates
QLMDe_stepK             Forward Selection of the Number of Components K
QLMDp                   Percentages for Quantile Least Mahalanobis
                        Distance estimation
drop1_fmx               Drop or Add One Parameter from fmx Object
fmx_cluster             Naive Estimates of Finite Mixture Distribution
                        via Clustering
fmx_hybrid              Best Naive Estimates for Finite Mixture
                        Distribution
fmx_normix              Naive Parameter Estimates using Mixture of
                        Normal
quantile_vcov           Variance-Covariance of Quantiles
reAssign                Re-Assign Observations Trimmed Prior to Trimmed
                        k-Means Clustering
step_fmx                Forward Selection of gh-parsimonious Model with
                        Fixed Number of Components K
