Package: miclust 1.2.8
miclust: Multiple Imputation in Cluster Analysis
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) <doi:10.1093/aje/kws289>.
Authors:
miclust_1.2.8.tar.gz
miclust_1.2.8.zip(r-4.5)miclust_1.2.8.zip(r-4.4)miclust_1.2.8.zip(r-4.3)
miclust_1.2.8.tgz(r-4.4-any)miclust_1.2.8.tgz(r-4.3-any)
miclust_1.2.8.tar.gz(r-4.5-noble)miclust_1.2.8.tar.gz(r-4.4-noble)
miclust_1.2.8.tgz(r-4.4-emscripten)miclust_1.2.8.tgz(r-4.3-emscripten)
miclust.pdf |miclust.html✨
miclust/json (API)
NEWS
# Install 'miclust' in R: |
install.packages('miclust', repos = c('https://jobago.r-universe.dev', 'https://cloud.r-project.org')) |
- minhanes - Multiple imputation for nhanes data.
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:f881e8d132. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 12 2024 |
R-4.5-win | OK | Oct 12 2024 |
R-4.5-linux | OK | Oct 12 2024 |
R-4.4-win | OK | Oct 12 2024 |
R-4.4-mac | OK | Oct 12 2024 |
R-4.3-win | OK | Oct 12 2024 |
R-4.3-mac | OK | Oct 12 2024 |
Exports:getdatagetvariablesfrequencymiclust
Dependencies:backportsbootbroomclassclicolorspacecombinatcowplotcpp11DerivdoBydplyrfansifarverflexclustgenericsggplot2gluegtableirrisobandlabelinglatticelifecyclelpSolvemagrittrMASSMatrixmatrixStatsmgcvmicrobenchmarkmodelrmodeltoolsmunsellnlmepillarpkgconfigpurrrR6RColorBrewerrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
miclust-package: integrating multiple imputation with cluster analysis | miclust-package |
Creates a 'midata' object. | getdata |
Calculates the ranked selection frequency of the variables. | getvariablesfrequency |
Cluster analysis in multiple imputed data sets with optional variable selection. | miclust |
Multiple imputation for nhanes data. | minhanes |
Shows a graphical representation of the results. | plot.miclust |
Prints the results. | print.miclust |
Prints the summary of results. | print.summary.miclust |
Summarizes the results. | summary.miclust |