clusterMI-package |
clusterMI: Cluster Analysis with Missing Values by Multiple Imputation |
chooseB |
Diagnostic plot for the number of iterations used in the varselbest function |
choosem |
Graphical investigation for the number of datasets generated by multiple imputation |
choosemaxit |
Diagnostic plot for the number of iterations used in sequential imputation methods |
choosenbclust |
Tune the number of clusters according to the partition instability |
chooser |
Kfold cross-validation for specifying threshold r |
clusterMI |
Cluster analysis and pooling after multiple imputation |
fastnmf |
Consensus clustering using non-negative matrix factorization |
imputedata |
Multiple imputation methods for cluster analysis |
overimpute |
Overimputation diagnostic plot |
prodna |
Introduce missing values using a missing completely at random mechanism |
varselbest |
Variable selection for specifying conditional imputation models |
wine |
Chemical analysis of wines from three different cultivars |