Man pages for julianhatwell/arulesimp
Association Rules Based Method for Imputation
| all_factor | Convert all variables to factors. |
| alpha_ci | Cronbachs alpha Confidence Interval |
| ARImpute | ARImputation |
| ARImpute_iter | Iterative Imputation (better name) |
| arulesimp_control | Control parameters for ARImputation |
| cars_control | Control parameters for make_cars |
| char_to_na | Replace character strings with NA. |
| ci_cover | Confidence Interval Coverage |
| compare_dewinter | Compare a Likert item to dewinter distributions |
| cut_equal | Equal cuts to item scale |
| cut_rhemtulla | Convert normal data to item scale |
| find_cols_to_impute | Find rows to impute |
| find_rows_to_impute | Find rows to impute |
| ij_means | Row and Column Means |
| iteration_control | Control parameters for AR_iter_Imputation |
| LikertImpute | Person Mean Imputation |
| mae | Mean Absolute Error |
| make_cars | Create classification rules |
| missing_control | Control parameters for synth_missing |
| missing_matrix | Create a missing indicator information |
| missing_values | Find missing values |
| mse | Mean Squared Error |
| nd_round | Non-deterministic Rounding |
| no_missing_check | Check for any missing values |
| ord_combi_expand | Rounded average over Likert Scales |
| ord_cum_expand | Ordinal to cumulative binary representation |
| ord_grp_combine | Ordinal to grouped binary representation |
| quality_measures | Quality Measures of Parameter Estimate |
| rel_bias | Relative Bias |
| rules_to_cars | Convert arules object to cars |
| st_bias | Standardised Bias |
| synth_dewinter | Synthesise Likert Scale data from empirical distributions |
| synth_missing | Synthesise missing data patterns |
| synth_wu_data | Synthesise Likert Scale data from latent variable models |
| t_ci | Students T based confidence interval |
