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_resolve_group
                        Resolve a Group Specification to a Data Frame
tune_imp                Tune Imputation Method Parameters
