Package: QuantileGH 0.1.7

Tingting Zhan

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

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

Authors:Tingting Zhan [aut, cre, cph], Inna Chervoneva [ctb, cph]

# Install 'QuantileGH' in R:

install.packages('QuantileGH', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

Last updated 10 months agofrom:acc4ec85ef. Checks:1 OK, 1 NOTE. Indexed: yes.

Target	Result	Latest binary
Doc / Vignettes	OK	Jan 27 2025
R-4.5-linux	NOTE	Jan 27 2025

Help page	Topics
Quantile Least Mahalanobis Distance Estimator for Tukey g-&-h Mixture	QuantileGH-package QuantileGH
Naive Estimates of Finite Mixture Distribution via Clustering	fmx_cluster
Best Naive Estimates for Finite Mixture Distribution	fmx_hybrid
Naive Parameter Estimates using Mixture of Normal	fmx_normix
Quantile Least Mahalanobis Distance estimates	QLMDe
Forward Selection of the Number of Components K	QLMDe_stepK
Percentages for Quantile Least Mahalanobis Distance estimation	QLMDp
Re-Assign Observations Trimmed Prior to Trimmed k-Means Clustering	reAssign reAssign.tkmeans
Forward Selection of gh-parsimonious Model with Fixed Number of Components K	step_fmx