Composite 'Indicator' Construction and Imputation Data
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Documentation for package ‘Indicator’ version 0.1.2
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| Indicator-package | Indicator: A package for constructing composite indicators, imputing and evaluating missing data imputation |
| columns_with_nan | Function to get the names of the columns with NAN values |
| compute_CI | Calculation of Condition Indices |
| Education | Education |
| geometric_aggregation | Geometric Aggregation |
| get_all_performance | Function to evaluate different nan imputation methods |
| get_all_performance_boot | Function to evaluate different nan imputation methods with bootstrap |
| Indicator | Indicator: A package for constructing composite indicators, imputing and evaluating missing data imputation |
| Jevons_aggregation | Jevons static aggregation |
| linear_aggregation | Linear Aggregation |
| linear_aggregation_AMPI | Adjusted Mazziotta-Pareto index |
| linear_aggregation_MPI | Mazziotta-Pareto index |
| lm_imputation | Function to apply nan inputation with linear regression |
| MAD | Mean absolute difference of rank |
| min_max | Min-max normalization |
| min_max_GM | Normalization for the Geometric Mean |
| normalization_abov_below_mean | Normalization above or below the mean |
| pca_weighting | Function that weight the quantitative variable by PCA method |
| performance_nan_imputation | Function to evaluate nan imputation method's performance |
| rank_aggregation | Ranking Aggregation |
| rank_normalisation | Rank normalization |
| standardization | Standardization |
| Standardization_AMPI | Standardization of data with Adjusted Maziotta-Pareto index |
| standardization_MPI | Standardization of data with Maziotta-Pareto index |