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 |