Other packages > Find by keyword >

MGMM  

Missingness Aware Gaussian Mixture Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("MGMM", "1.0.1.1")



Attach the package and use:
library("MGMM")
Maintained by
Zachary McCaw
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-08-26
Latest Update: 2023-09-30
Description:
Parameter estimation and classification for Gaussian Mixture Models (GMMs) in the presence of missing data. This package complements existing implementations by allowing for both missing elements in the input vectors and full (as opposed to strictly diagonal) covariance matrices. Estimation is performed using an expectation conditional maximization algorithm that accounts for missingness of both the cluster assignments and the vector components. The output includes the marginal cluster membership probabilities; the mean and covariance of each cluster; the posterior probabilities of cluster membership; and a completed version of the input data, with missing values imputed to their posterior expectations. For additional details, please see McCaw ZR, Julienne H, Aschard H. "Fitting Gaussian mixture models on incomplete data." .
How to cite:
Zachary McCaw (2020). MGMM: Missingness Aware Gaussian Mixture Models. R package version 1.0.1.1, https://cran.r-project.org/web/packages/MGMM. Accessed 13 Jun. 2026.
Previous versions and publish date:
0.3.1 (2020-08-26 13:50), 0.4.0 (2021-07-25 16:50), 1.0.0 (2021-12-21 19:12), 1.0.1.1 (2023-09-30 17:42), 1.0.1 (2023-08-08 15:50)
Other packages that cited MGMM R package
View MGMM citation profile
Other R packages that MGMM depends, imports, suggests or enhances
Complete documentation for MGMM
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

kim  
A Toolkit for Behavioral Scientists
A collection of functions for analyzing data typically collected or used by behavioral scientists. ...
Download / Learn more Package Citations See dependency  
sfinx  
Straightforward Filtering Index for AP-MS Data Analysis (SFINX)
The straightforward filtering index (SFINX) identifies true positive protein interactions in a fast ...
Download / Learn more Package Citations See dependency  
RGAN  
Generative Adversarial Nets (GAN) in R
An easy way to get started with Generative Adversarial Nets (GAN) in R. The GAN algorithm was initia ...
Download / Learn more Package Citations See dependency  
MicroDatosEs  
Utilities for Official Spanish Microdata
Provides utilities for reading and processing microdata from Spanish official statistics with R. ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
snowfall  
Easier Cluster Computing (Based on 'snow')
Usability wrapper around snow for easier development of parallel R programs. This package offers e.g ...
Download / Learn more Package Citations See dependency  

27,372

R Packages

233,548

Dependencies

73,054

Author Associations

27,205

Publication Badges

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