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]
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 29 Mar. 2025.
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 (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
02/2702/2803/0103/0203/0303/0403/0503/0603/0703/0803/0903/1003/1103/1203/1303/1403/1503/1603/1703/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/28Downloads for MGMM024681012141618TrendBars

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  
gglgbtq  
Show Pride on 'ggplot2' Plots
Provides multiple palettes based on pride flags with tailored themes. ...
Download / Learn more Package Citations See dependency  
landmix  
Landmark Prediction for Mixture Data
Non-parametric prediction of survival outcomes for mixture data that incorporates covariates and a l ...
Download / Learn more Package Citations See dependency  

23,842

R Packages

207,311

Dependencies

64,420

Author Associations

23,781

Publication Badges

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