Man pages for slideimp
Numeric Matrices K-NN and PCA Imputation
| col_vars | Calculate Matrix Column Variances |
| compute_metrics | Compute Prediction Accuracy Metrics |
| group_imp | Grouped K-NN or PCA Imputation |
| knn_imp | K-Nearest Neighbor Imputation for Numeric Matrices |
| lobpcg_control | LOBPCG Eigensolver Control Options |
| mat_miss | Column or Row Missing Counts and Proportions |
| mean_imp_col | Column Mean Imputation |
| pca_imp | PCA Imputation for Numeric Matrices |
| prep_groups | Prepare Groups for Imputation |
| print.slideimp_results | Print a 'slideimp_results' Object |
| print.slideimp_sim | Print a 'slideimp_sim' Object |
| print.slideimp_tbl | Print a 'slideimp_tbl' Object |
| sample_na_loc | Sample Missing-Value Locations with Constraints |
| sim_mat | Simulate a Matrix with Metadata |
| slide_imp | Sliding-Window K-NN or PCA Imputation |
| slideimp-package | slideimp: Numeric Matrices K-NN and PCA Imputation |
| slideimp_resolve_group | Resolve a Group Specification to a Data Frame |
| tune_imp | Tune Imputation Method Parameters |
