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QuantileGH (version 0.1.8)

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

Description

Functions for simulation, estimation, and model selection of finite mixtures of Tukey g-and-h distributions.

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Version

Install

install.packages('QuantileGH')

Monthly Downloads

336

Version

0.1.8

License

GPL-2

Maintainer

Tingting Zhan

Last Published

March 15th, 2025

Functions in QuantileGH (0.1.8)

QLMDe

Quantile Least Mahalanobis Distance estimates
drop1_fmx

Drop or Add One Parameter from fmx Object
fmx_hybrid

Best Naive Estimates for Finite Mixture Distribution
QLMDe_stepK

Forward Selection of the Number of Components \(K\)
QuantileGH-package

Quantile Least Mahalanobis Distance Estimator for Tukey \(g\)-&-\(h\) Mixture
fmx_cluster

Naive Estimates of Finite Mixture Distribution via Clustering
QLMDp

Percentages for Quantile Least Mahalanobis Distance estimation
fmx_normix

Naive Parameter Estimates using Mixture of Normal
reAssign

Re-Assign Observations Trimmed Prior to Trimmed \(k\)-Means Clustering
step_fmx

Forward Selection of \(gh\)-parsimonious Model with Fixed Number of Components \(K\)
mahalanobis_int

Simpler and Faster Mahalanobis Distance
quantile_vcov

Variance-Covariance of Quantiles
klist

Data Clusters by (modified) \(k\)-Means
allequal

Determine Nearly-Equal Elements
allequal_o_

Test if Two double Vectors are Element-Wise (Nearly) Equal