financial

<p>This dataset contains 100 observations of 6 variables. The data was
generated randomly for the purpose of exemplifying a database that could
potentially be used with this function.</p>

example

dataset

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>.

Silvia María Franco Anaya

EIEntropy

Ecological Inference Applying Entropy

Alberto Díaz-Dapena

Esteban Fernández-Vázquez

financial function

<p>A data frame with 100 observations of 6 variables called financial</p>

Format

Randomly Generated Data — financial

Randomly Generated Data

financial: Randomly Generated Data

Description

Usage

Arguments

Value

Format

Examples