Other packages > Find by keyword >

clusterMI  

Cluster Analysis with Missing Values by Multiple Imputation
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("clusterMI", "1.5")



Attach the package and use:
library("clusterMI")
Maintained by
Vincent Audigier
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-03-12
Latest Update: 2025-02-24
Description:
Allows clustering of incomplete observations by addressing missing values using multiple imputation. For achieving this goal, the methodology consists in three steps. I) Missing data imputation using dedicated models. Four multiple imputation methods are proposed, two are based on joint modelling and two are fully sequential methods. II) cluster analysis of imputed data sets. Six clustering methods are available (distances-based or model-based), but custom methods can also be easily used. III) Partition pooling, The set of partitions is aggregated using Non-negative Matrix Factorization based method. An associated instability measure is computed by bootstrap. Among applications, this instability measure can be used to choose a number of clusters with missing values. The package also proposes several diagnostic tools to tune the number of imputed data sets, to tune the number of iterations in fully sequential imputation, to check the fit of imputation models, etc.
How to cite:
Vincent Audigier (2024). clusterMI: Cluster Analysis with Missing Values by Multiple Imputation. R package version 1.5, https://cran.r-project.org/web/packages/clusterMI. Accessed 12 Sep. 2026.
Previous versions and publish date:
(2026-07-09 07:26), 1.0.0 (2024-03-12 21:10), 1.1.0 (2024-05-17 16:50), 1.1.1 (2024-05-31 15:30), 1.2.1 (2024-07-07 18:00), 1.2.2 (2024-10-23 15:40), 1.2 (2024-07-04 16:40), 1.3 (2024-12-12 17:00), 1.4.0 (2025-02-12 12:40), 1.5 (2025-02-24 18:20)
Other packages that cited clusterMI R package
View clusterMI citation profile
Other R packages that clusterMI depends, imports, suggests or enhances
Complete documentation for clusterMI
Functions, R codes and Examples using the clusterMI R package
Full clusterMI package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

NScluster  
Simulation and Estimation of the Neyman-Scott Type Spatial Cluster Models
Simulation and estimation for Neyman-Scott spatial cluster point process models and their extension ...
Download / Learn more Package Citations See dependency  
qdapTools  
Tools for the 'qdap' Package
A collection of tools associated with the 'qdap' package that may be useful outside of the context ...
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  
electionsBR  
R Functions to Download and Clean Brazilian Electoral Data
Offers a set of functions to easily download and clean Brazilian electoral data from the Superior E ...
Download / Learn more Package Citations See dependency  
unikn  
Graphical Elements of the University of Konstanz's Corporate Design
Define and use graphical elements of corporate design manuals in R. The 'unikn' package provides col ...
Download / Learn more Package Citations See dependency  
mixl  
Simulated Maximum Likelihood Estimation of Mixed Logit Models for Large Datasets
Specification and estimation of multinomial logit models. Large datasets and complex models are su ...
Download / Learn more Package Citations See dependency  

28,480

R Packages

239,283

Dependencies

75,677

Author Associations

28,481

Publication Badges

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