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miclust
View on CRAN: Click
here
Download and install miclust package within the R console
Install from CRAN:
install.packages("miclust")
Install from Github:
library("remotes")
install_github("cran/miclust")
Install by package version:
library("remotes")
install_version("miclust", "1.2.8")
Attach the package and use:
library("miclust")
Maintained by
Jose Barrera-Gomez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-10
Latest Update: 2022-02-07
Description:
Implementation of a framework for cluster analysis with selection of the
final number of clusters and an optional variable selection procedure. The package
is designed to integrate the results of multiple imputed datasets while accounting
for the uncertainty that the imputations introduce in the final results. In addition,
the package can also be used for a cluster analysis of the complete cases of a single
dataset. The package also includes specific methods to summarize and plot the results.
The methods are described in Basagana et al. (2013) .
How to cite:
Jose Barrera-Gomez (2021). miclust: Multiple Imputation in Cluster Analysis. R package version 1.2.8, https://cran.r-project.org/web/packages/miclust
Other packages that cited miclust R package
View miclust citation profile
Other R packages that miclust depends,
imports, suggests or enhances
Functions, R codes and Examples using
the miclust R package
Some associated functions: assignprobandkappas . centerdata . centroid . doclusterkmeans . doclusterkmeansbackward . doclusterkmeansforward . doclusterkmeansforwardhc . doclusterkmeansforwardrand . doclusterkmeansnone . euclidean . getcritcfkcca . getdata . getinitialcentroids . getvariablesfrequency . manhattan . miclust-package . miclust . minhanes . plot.miclust . print.miclust . print.summary.miclust . relabelclusters . standardizedata . summary.miclust .
Some associated R codes: assignprobandkappas.R . centerdata.R . centroid.R . doclusterkmeans.R . doclusterkmeansbackward.R . doclusterkmeansforward.R . doclusterkmeansforwardhc.R . doclusterkmeansforwardrand.R . doclusterkmeansnone.R . euclidean.R . getcritcfkcca.R . getdata.R . getinitialcentroids.R . getvariablesfrequency.R . manhattan.R . miclust-package.R . miclust.R . minhanes.R . onAttach.R . plot.miclust.R . print.miclust.R . print.summary.miclust.R . relabelclusters.R . standardizedata.R . summary.miclust.R . Full miclust package functions and examples
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