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rrMixture  

Reduced-Rank Mixture Models
View on CRAN: Click here


Download and install rrMixture package within the R console
Install from CRAN:
install.packages("rrMixture")

Install from Github:
library("remotes")
install_github("cran/rrMixture")

Install by package version:
library("remotes")
install_version("rrMixture", "0.1-2")



Attach the package and use:
library("rrMixture")
Maintained by
Suyeon Kang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-03-10
Latest Update: 2022-04-08
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+).
How to cite:
Suyeon Kang (2022). rrMixture: Reduced-Rank Mixture Models. R package version 0.1-2, https://cran.r-project.org/web/packages/rrMixture. Accessed 05 Jun. 2026.
Previous versions and publish date:
0.1-1 (2022-03-10 09:40)
Other packages that cited rrMixture R package
View rrMixture citation profile
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Complete documentation for rrMixture
Functions, R codes and Examples using the rrMixture R package
Some associated functions: initialize.para . plot . rrMixture . rrmix . rrmix.sim.norm . summary . tune.rrmix . 
Some associated R codes: RcppExports.R . initialize.para.R . plot.R . print.R . rrMixture.R . rrmix.R . rrmix.sim.norm.R . summary.R . tune.R .  Full rrMixture package functions and examples
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