R: Composite 'Indicator' Construction and Imputation Data

# Composite 'Indicator' Construction and Imputation Data

## Documentation for package ‘Indicator’ version 0.1.3

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

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