Quantile Least Mahalanobis Distance Estimator for Tukey g-&-h Mixture

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Documentation for package ‘QuantileGH’ version 0.1.6

• DESCRIPTION file.
• Package NEWS.

Help Pages

add1.fmx	Drop or Add One Parameter from fmx Object
drop1.fmx	Drop or Add One Parameter from fmx Object
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
QLMDe	Quantile Least Mahalanobis Distance estimates
QLMDe_stepK	Forward Selection of the Number of Components K
QLMDp	Percentages for Quantile Least Mahalanobis Distance estimation
quantile_vcov	Variance-Covariance of Quantiles
reAssign	Re-Assign Observations Trimmed Prior to Trimmed k-Means Clustering
reAssign.tkmeans	Re-Assign Observations Trimmed Prior to Trimmed k-Means Clustering
step_fmx	Forward Selection of gh-parsimonious Model with Fixed Number of Components K