rrMixture (version 0.1-2)

Reduced-Rank Mixture Models

Description

We implement full-ranked, rank-penalized, and adaptive nuclear norm penalized estimation methods using multivariate mixture models proposed by Kang, Chen, and Yao (2022+).

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Version

Install

install.packages('rrMixture')

Monthly Downloads

209

Version

0.1-2

License

GPL (>= 2)

Maintainer

Suyeon Kang

Last Published

April 8th, 2022

Functions in rrMixture (0.1-2)

initialize.para

Initialization of Parameter Estimates

rrMixture

rrMixture: Reduced-Rank Mixture Models.

rrmix.sim.norm

Simulation Data Generator

tune.rrmix

Reduced-rank mixture models with optimal tuning parameter(s)

summary

Summarize rrmix Objects

rrmix

Reduced-Rank Mixture Models in Multivariate Regression

plot

Visualize rrmix Objects