Composite Indicators Functions


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Documentation for package ‘Compind’ version 2.2

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Compind-package Composite Indicators - Compind
bandwidth_CI Multivariate mixed bandwidth selection for exogenous variables
ci_ampi Adjusted Mazziotta-Pareto Index (AMPI) method
ci_bod Benefit of the Doubt approach (BoD)
ci_bod_constr Constrained Benefit of the Doubt approach (BoD)
ci_bod_constr_bad Constrained Benefit of the Doubt approach (BoD) in presence of undesirable indicators
ci_bod_dir Directional Benefit of the Doubt (D-BoD) model
ci_bod_var_w Variance weighted Benefit of the Doubt approach (BoD variance weighted)
ci_factor Weighting method based on Factor Analysis
ci_generalized_mean Weighting method based on generalized mean
ci_geom_bod_intertemp Intertemporal analysis for geometric mean quantity index numbers
ci_geom_gen Generalized geometric mean quantity index numbers
ci_mean_min Mean-Min Function
ci_mpi Mazziotta-Pareto Index (MPI) method
ci_rbod Robust Benefit of the Doubt approach (RBoD)
ci_rbod_constr_bad Robust constrained Benefit of the Doubt approach (BoD) in presence of undesirable indicators
ci_rbod_constr_bad_Q Conditional robust constrained Benefit of the Doubt approach (BoD) in presence of undesirable indicators
ci_rbod_dir Directional Robust Benefit of the Doubt approach (D-RBoD)
ci_rbod_spatial Spatial robust Benefit of the Doubt approach (Sp-RBoD)
ci_smaa_constr Constrained stochastic multi-objective acceptability analysis (C-SMAA)
ci_wroclaw Wroclaw Taxonomic Method
EU_2020 Europe 2020 indicators
EU_NUTS1 EU NUTS1 Transportation data
normalise_ci Normalisation and polarity functions