Man pages for doMIsaul
Do Multiple Imputation-Based Semi-Supervised and Unsupervised Learning
| Allocation_Distance | Allocation Distance |
| anovatab | Table of ANOVA test for several explanatory variables |
| CH | 'CH' index |
| chi2tab | Table of 'chisq.test()' test for several explanatory... |
| CH.sel | Number of cluster selection according to 'CH' index |
| cleanUp_partition | Remove small clusters (i.e. unclassified observations for... |
| CritCF | 'CritCF' index |
| CritCF.sel | Number of cluster selection according to 'CritCF' index |
| cve_LinearPred | Cross-validation for cox regression using the linear... |
| CVE_LP | Cross-validation for cox regression using the linear... |
| dot-cens.draw3 | Base function for imputing left censored data with MICE |
| evaluate_partition_semisup | Evaluation of a semisupervised obtained partition in... |
| evaluate_partition_unsup | Comparison of an unsupervised obtained partition to a... |
| exctract_center_position | Extract the cluster centers coordinates |
| Extract_AUC | Wrapper to evaluate time dependent AUC |
| formatpv | Apply format to p-values |
| initiate_centers | Initiate centers for clustering algorithm |
| mice.impute.cens | Impute left censored data with MICE |
| MIclust_mpool | 'MultiCons' wrapper for imputed datasets |
| MImpute | Wrapper functions for multivariate imputation with survival... |
| MultiCons | MultiCons Consensus Clustering Algorithm |
| my_jack | Partition sorting based on Jaccard index |
| objective_clustering | objective clustering cost |
| pareto | Pareto optimization |
| partition_generation | Unsupervised partition with K selection |
| plot_boxplot | 'ggplot' type boxplots for each vars.cont by partition level. |
| plot_frequency | 'ggplot' type barplots representing frequencies for each... |
| plot_MIpca | Plot a PCA from a multiply imputed dataset. |
| seMIsupcox | Semisupervised learning for a right censored endpoint |
| table_categorical | Display table with comparison of the partition with... |
| table_continuous | Display table with comparison of the partition with... |
| unsupMI | Unsupervised learning for incomplete dataset |
