Package: EIEntropy 0.0.1.3
Silvia María Franco Anaya
EIEntropy: Ecological Inference Applying Entropy
Implements two estimations related to the foundations of info metrics applied to ecological inference. These methodologies assess the lack of disaggregated data and provide an approach to obtaining disaggregated territorial-level data. For more details, see the following references: Fernández-Vázquez, E., Díaz-Dapena, A., Rubiera-Morollón, F. et al. (2020) "Spatial Disaggregation of Social Indicators: An Info-Metrics Approach." <doi:10.1007/s11205-020-02455-z>. Díaz-Dapena, A., Fernández-Vázquez, E., Rubiera-Morollón, F., & Vinuela, A. (2021) "Mapping poverty at the local level in Europe: A consistent spatial disaggregation of the AROPE indicator for France, Spain, Portugal and the United Kingdom." <doi:10.1111/rsp3.12379>.
Authors:
EIEntropy_0.0.1.3.tar.gz
EIEntropy_0.0.1.3.tar.gz(r-4.5-noble)EIEntropy_0.0.1.3.tar.gz(r-4.4-noble)
EIEntropy_0.0.1.3.tgz(r-4.4-emscripten)EIEntropy_0.0.1.3.tgz(r-4.3-emscripten)
EIEntropy.pdf |EIEntropy.html✨
EIEntropy/json (API)
NEWS
# Install 'EIEntropy' in R: |
install.packages('EIEntropy', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 months agofrom:da43c9a47d. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 05 2024 |
R-4.5-linux | OK | Dec 05 2024 |
Exports:ei_gceei_gmefinancialsocial
Dependencies:clidplyrfansigenericsgluelifecyclemagrittrpillarpkgconfigR6rlangtibbletidyselectutf8vctrswithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Ecologic Inference applying entropy | ei_gce |
Ecologic Inference applying entropy | ei_gme |
Randomly Generated Data | financial |
Generate a Plot | plot.kl |
Generate a Plot | plot.shannon |
Randomly Generated Data | social |
Summary | summary.kl |
Summary | summary.shannon |