Package: miclust 1.3.0
Jose Barrera-Gomez
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_1.3.0.tar.gz
miclust_1.3.0.tar.gz(r-4.7-any)miclust_1.3.0.tar.gz(r-4.6-any)
miclust_1.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
miclust/json (API)
NEWS
| # Install 'miclust' in R: |
| install.packages('miclust', repos = c('https://cran.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 from:8b5335a4df. Checks:4 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 165 | ||
| source / vignettes | OK | 204 | ||
| linux-release-x86_64 | OK | 159 | ||
| wasm-release | OK | 120 |
Exports:getdatagetvariablesfrequencymiclust
Dependencies:backportsbootbroomclassclicolorspacecombinatcowplotcpp11DerivdoBydplyrfarverflexclustforecastfracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelmtestmagrittrMASSMatrixmatrixStatsmicrobenchmarkmodelrmodeltoolsnlmennetpillarpkgconfigpurrrR6RColorBrewerRcppRcppArmadillorlangS7scalesstringistringrtibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
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 datasets with optional variable selection. | miclust plot.miclust print.miclust |
| Multiple imputation for nhanes data. | minhanes |
| Summarizes the results. | print.summary.miclust summary.miclust |
