Other packages > Find by keyword >

gmmsslm  

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


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

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

Install by package version:
library("remotes")
install_version("gmmsslm", "1.1.6")



Attach the package and use:
library("gmmsslm")
Maintained by
Ziyang Lyu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-02-16
Latest Update: 2025-04-17
Description:
The algorithm of semi-supervised learning is based on finite Gaussian mixture models and includes a mechanism for handling missing data. It aims to fit a g-class Gaussian mixture model using maximum likelihood. The algorithm treats the labels of unclassified features as missing data, building on the framework introduced by Rubin (1976) for missing data analysis. By taking into account the dependencies in the missing pattern, the algorithm provides more information for determining the optimal classifier, as specified by Bayes' rule.
How to cite:
Ziyang Lyu (2023). gmmsslm: Semi-Supervised Gaussian Mixture Model with a Missing-Data Mechanism. R package version 1.1.6, https://cran.r-project.org/web/packages/gmmsslm. Accessed 27 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:44), 1.1.1 (2023-02-16 16:30), 1.1.2 (2023-02-26 04:12), 1.1.4 (2023-05-16 07:20), 1.1.5 (2023-10-16 06:30)
Other packages that cited gmmsslm R package
View gmmsslm citation profile
Other R packages that gmmsslm depends, imports, suggests or enhances
Complete documentation for gmmsslm
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
robustX  
'eXtra' / 'eXperimental' Functionality for Robust Statistics
Robustness -- 'eXperimental', 'eXtraneous', or 'eXtraordinary' Functionality for Robust Statistics. ...
Download / Learn more Package Citations See dependency  
Bodi  
Boosting Diversity in Regression Ensembles
A gradient boosting-based algorithm by incorporating a diversity term to guide the gradient boosting ...
Download / Learn more Package Citations See dependency  
ROI.plugin.qpoases  
'qpOASES' Plugin for the 'R' Optimization Infrastructure
Enhances the 'R' Optimization Infrastructure ('ROI') package with the quadratic solver 'qpOASES'. M ...
Download / Learn more Package Citations See dependency  
lmmpar  
Parallel Linear Mixed Model
Embarrassingly Parallel Linear Mixed Model calculations spread across local cores which repeat until ...
Download / Learn more Package Citations See dependency  
risksetROC  
Riskset ROC Curve Estimation from Censored Survival Data
Compute time-dependent Incident/dynamic accuracy measures (ROC curve, AUC, integrated AUC )from cen ...
Download / Learn more Package Citations See dependency  

28,332

R Packages

239,283

Dependencies

75,113

Author Associations

28,333

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA