Package: Compind 3.5

Compind: Composite Indicators Functions

A collection of functions to calculate Composite Indicators methods, focusing, in particular, on the normalisation and weighting-aggregation steps, as described in OECD Handbook on constructing composite indicators: methodology and user guide, 2008, 'Vidoli' and 'Fusco' and 'Mazziotta' <doi:10.1007/s11205-014-0710-y>, 'Mazziotta' and 'Pareto' (2016) <doi:10.1007/s11205-015-0998-2>, 'Van Puyenbroeck and 'Rogge' <doi:10.1016/j.ejor.2016.07.038> and other authors.

Authors:Francesco Vidoli [aut, cre], Elisa Fusco [aut]

Compind_3.5.tar.gz
Compind_3.5.zip(r-4.7)Compind_3.5.zip(r-4.6)Compind_3.5.zip(r-4.5)
Compind_3.5.tgz(r-4.6-any)Compind_3.5.tgz(r-4.5-any)
Compind_3.5.tar.gz(r-4.7-any)Compind_3.5.tar.gz(r-4.6-any)
Compind_3.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Compind/json (API)

# Install 'Compind' in R:

install.packages('Compind', repos = c('https://fvidoli.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

BLI_2017 - Better Life Index 2017 indicators
data_HPI - Happy Planet Index 2017-2019 indicators
EU_2020 - Europe 2020 indicators
EU_NUTS1 - EU NUTS1 Transportation data

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.64 score 1 stars 44 scripts 813 downloads 28 exports 169 dependencies

Last updated from:195f8594ad. Checks:7 WARNING, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	WARNING	281
source / vignettes	OK	278
linux-release-x86_64	WARNING	259
macos-release-arm64	WARNING	167
macos-oldrel-arm64	WARNING	168
windows-devel	WARNING	334
windows-release	WARNING	300
windows-oldrel	WARNING	296
wasm-release	OK	219

Exports:bandwidth_CI ci_ampi ci_bod ci_bod_constr ci_bod_constr_bad ci_bod_dir ci_bod_mdir ci_bod_time_decomp ci_bod_var_w ci_factor ci_factor_mixed ci_generalized_mean ci_geom_bod_intertemp ci_geom_gen ci_mean_min ci_mpi ci_ogwa ci_owa ci_rbod ci_rbod_constr_bad ci_rbod_constr_bad_Q ci_rbod_dir ci_rbod_mdir ci_rbod_spatial ci_smaa_constr ci_wroclaw normalise_ci plot_M_robust_ci

Dependencies:abind backports base64enc Benchmarking boot broom bslib cachem car carData checkmate class classInt cli cluster coda codetools colorspace cowplot cpp11 crosstalk crs cubature data.table DBI deldir DEoptimR Deriv digest doBy dplyr DT e1071 ellipse emmeans estimability evaluate expm FactoMineR farver fastmap flashClust FNN fontawesome forecast foreign Formula fracdiff fs generics geometry ggplot2 ggrepel glue GPArotation gridExtra gtable GWmodel highr Hmisc htmlTable htmltools htmlwidgets insight intervals irlba isoband jquerylib jsonlite KernSmooth knitr labeling later lattice lazyeval leaps LearnBayes lifecycle linprog lme4 lmtest lpSolve lpSolveAPI magic magrittr marginaleffects MASS Matrix MatrixModels mcmc MCMCpack memoise mgcv microbenchmark mime minqa mnormt modelr multcomp multcompView mvtnorm nlme nloptr nnet nonparaeff np numDeriv otel pbkrtest pillar pkgconfig popdemo promises proxy psych purrr quadprog quantreg R6 rappdirs rbibutils RColorBrewer Rcompadre Rcpp RcppArmadillo RcppEigen RcppProgress Rdpack reformulas rlang rmarkdown robustbase rpart rstudioapi s2 S7 sandwich sass scales scatterplot3d sf smaa sp spacetime SparseM spatialreg spData spdep stringi stringr survival TH.data tibble tidyr tidyselect timeDate tinytex ucminf units urca utf8 vctrs viridisLite withr wk xfun xts yaml zoo

Compind: Composite indicators functions based on frontiers in R

Frontier methods | Non frontier methods | Utilities: Normalisation and polarity functions | Compind web application

Rendered fromCompind_vignette.pdf.asisusingR.rsp::asis

Last update: 2017-06-20
Started: 2016-06-27

Help page	Topics
Composite Indicators - Compind	Compind-package
Multivariate mixed bandwidth selection for exogenous variables	bandwidth_CI
Better Life Index 2017 indicators	BLI_2017
Adjusted Mazziotta-Pareto Index (AMPI) method	ci_ampi
Benefit of the Doubt approach (BoD)	ci_bod
Constrained Benefit of the Doubt approach (BoD)	ci_bod_constr
Constrained Benefit of the Doubt approach (BoD) in presence of undesirable indicators	ci_bod_constr_bad
Directional Benefit of the Doubt (D-BoD) model	ci_bod_dir
Multi-directional Benefit of the Doubt approach (MDBoD)	ci_bod_mdir
Dynamic Benefit of the Doubt decomposition for panel data	ci_bod_time_decomp
Variance weighted Benefit of the Doubt approach (BoD variance weighted)	ci_bod_var_w
Weighting method based on Factor Analysis	ci_factor
Weighting method based on Factor analysis of mixed data (FAMD)	ci_factor_mixed
Weighting method based on generalized mean	ci_generalized_mean
Intertemporal analysis for geometric mean quantity index numbers	ci_geom_bod_intertemp
Generalized geometric mean quantity index numbers	ci_geom_gen
Mean-Min Function	ci_mean_min
Mazziotta-Pareto Index (MPI) method	ci_mpi
Ordered Geographically Weighted Average (OWA)	ci_ogwa
Ordered Weighted Average (OWA)	ci_owa
Robust Benefit of the Doubt approach (RBoD)	ci_rbod
Robust constrained Benefit of the Doubt approach (BoD) in presence of undesirable indicators	ci_rbod_constr_bad
Conditional robust constrained Benefit of the Doubt approach (BoD) in presence of undesirable indicators	ci_rbod_constr_bad_Q
Directional Robust Benefit of the Doubt approach (D-RBoD)	ci_rbod_dir
Robust multi-directional Benefit of the Doubt approach (MDRBoD)	ci_rbod_mdir
Spatial robust Benefit of the Doubt approach (Sp-RBoD)	ci_rbod_spatial
Constrained stochastic multi-objective acceptability analysis (C-SMAA)	ci_smaa_constr
Wroclaw Taxonomic Method	ci_wroclaw
Happy Planet Index 2017-2019 indicators	data_HPI
Europe 2020 indicators	EU_2020
EU NUTS1 Transportation data	EU_NUTS1
Normalisation and polarity functions	normalise_ci
Visualize the percentage of outperforming units in robust methods	plot_M_robust_ci

Package: Compind 3.5

Compind: Composite Indicators Functions

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)