chooseB | Diagnostic plot for the number of iterations used in the... |
chooseB.intern | Tune the number of iterations for variable selection using... |
choosem | Graphical investigation for the number of datasets generated... |
choosemaxit | Diagnostic plot for the number of iterations used in... |
choosenbclust | Tune the number of clusters according to the partition... |
chooser | Kfold cross-validation for specifying threshold r |
cluster.intern | Apply clustering method after multiple imputation |
clusterMI | Cluster analysis and pooling after multiple imputation |
clusterMI-package | clusterMI: Cluster Analysis with Missing Values by Multiple... |
fastnmf | Consensus clustering using non-negative matrix factorization |
imputedata | Multiple imputation methods for cluster analysis |
initfastnmf | initialize fastnmf |
mclustboot.intern | MclustBootstrap with nboot = 1 and the same output as Mclust |
myem.mix | internal function |
onefold.chooser | one fold cross-validation for specifying threshold r |
overimpute | Overimputation diagnostic plot |
prodna | Introduce missing values using a missing completely at random... |
Rcpp_modelobject-class | Class '"Rcpp_modelobject"' |
Silhouette.intern | Compute Silhouette index |
varselbest | Variable selection for specifying conditional imputation... |
wine | Chemical analysis of wines from three different cultivars |
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