Other packages > Find by keyword >

ClustMMDD  

Variable Selection in Clustering by Mixture Models for Discrete Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ClustMMDD", "1.0.4")



Attach the package and use:
library("ClustMMDD")
Maintained by
Wilson Toussile
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-05-20
Latest Update: 2023-07-07
Description:
An implementation of a variable selection procedure in clustering by mixture models for discrete data (clustMMDD). Genotype data are examples of such data with two unordered observations (alleles) at each locus for diploid individual. The two-fold problem of variable selection and clustering is seen as a model selection problem where competing models are characterized by the number of clusters K, and the subset S of clustering variables. Competing models are compared by penalized maximum likelihood criteria. We considered asymptotic criteria such as Akaike and Bayesian Information criteria, and a family of penalized criteria with penalty function to be data driven calibrated.
How to cite:
Wilson Toussile (2015). ClustMMDD: Variable Selection in Clustering by Mixture Models for Discrete Data. R package version 1.0.4, https://cran.r-project.org/web/packages/ClustMMDD. Accessed 21 Dec. 2024.
Previous versions and publish date:
1.0.0 (2015-05-20 15:19), 1.0.1 (2015-05-23 01:52), 1.0.2 (2016-02-20 16:26), 1.0.3 (2016-02-21 19:51), 1.0.4 (2016-05-30 20:26)
Other packages that cited ClustMMDD R package
View ClustMMDD citation profile
Other R packages that ClustMMDD depends, imports, suggests or enhances
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

condGEE  
Parameter Estimation in Conditional GEE for Recurrent Event Gap Times
Solves for the mean parameters, the variance parameter, and their asymptotic variance in a condition ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
SEIRfansy  
Extended Susceptible-Exposed-Infected-Recovery Model
Extended Susceptible-Exposed-Infected-Recovery Model for handling high false negative rate and symp ...
Download / Learn more Package Citations See dependency  
CIFsmry  
Weighted summary of cumulative incidence functions
Estimate of cumulative incidence function in two samples. Provide weighted summary statistics based ...
Download / Learn more Package Citations See dependency  
helda  
Preprocess Data and Get Better Insights from Machine Learning Models
The main focus is on preprocessing and data visualization of machine learning models performances.So ...
Download / Learn more Package Citations See dependency  
batteryreduction  
An R Package for Data Reduction by Battery Reduction
Battery reduction is a method used in data reduction. It uses Gram-Schmidt orthogonal rotations to f ...
Download / Learn more Package Citations See dependency  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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