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EMMIXSSL  

Semi-Supervised Gaussian Mixture Model with a Missing-Data Mechanism
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EMMIXSSL", "1.1.1")



Attach the package and use:
library("EMMIXSSL")
Maintained by
Ziyang Lyu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-08
Latest Update: 2022-10-18
Description:
The algorithm of semi-supervised learning based on finite Gaussian mixture models with a missing-data mechanism is designed for a fitting g-class Gaussian mixture model via maximum likelihood (ML). It is proposed to treat the labels of the unclassified features as missing-data and to introduce a framework for their missing as in the pioneering work of Rubin (1976) for missing in incomplete data analysis. This dependency in the missingness pattern can be leveraged to provide additional information about the optimal classifier as specified by Bayes
How to cite:
Ziyang Lyu (2022). EMMIXSSL: Semi-Supervised Gaussian Mixture Model with a Missing-Data Mechanism. R package version 1.1.1, https://cran.r-project.org/web/packages/EMMIXSSL. Accessed 15 Jul. 2026.
Previous versions and publish date:
1.1.0 (2022-02-08 12:00), (2026-07-09 08:02)
Other packages that cited EMMIXSSL R package
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Complete documentation for EMMIXSSL
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