BrazilElectricity: Proportion of households with access to electricity in Brazil
In brsantos/baquantreg: Bayesian quantile regression methods
BrazilElectricity R Documentation
Proportion of households with access to electricity in Brazil
Description
A dataset containing a sample of cities in Brazil, with the proportion of
households with access to electricity with data from the Brazilian census
of 2000, and some sociodemographic variables.
Usage
BrazilElectricity
Format
A data frame with 500 rows and 6 variables:
- prop_elec
propotion of households with access to electricity.
- region
2 for Northeast, 3 for Southeast.
- population
Population, in years.
- income_percap
Income per capita, in Brazilian reais.
- hdi
Human development index.
- pop_density
Population density.
Source
http://www.ibge.gov.br/english/estatistica/populacao/default_censo_2000.shtm
References
Santos and Bolfarine (2015). Bayesian analysis for zero-or-one
inflated proportion data using quantile regression. Journal of
Statistical Computation and Simulation. http://www.tandfonline.com /doi/abs/10.1080/00949655.2014.986733
brsantos/baquantreg documentation built on Feb. 8, 2023, 8:18 a.m.
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| BrazilElectricity | R Documentation |
Proportion of households with access to electricity in Brazil
Description
A dataset containing a sample of cities in Brazil, with the proportion of households with access to electricity with data from the Brazilian census of 2000, and some sociodemographic variables.
Usage
BrazilElectricity
Format
A data frame with 500 rows and 6 variables:
- prop_elec
propotion of households with access to electricity.
- region
2 for Northeast, 3 for Southeast.
- population
Population, in years.
- income_percap
Income per capita, in Brazilian reais.
- hdi
Human development index.
- pop_density
Population density.
Source
http://www.ibge.gov.br/english/estatistica/populacao/default_censo_2000.shtm
References
Santos and Bolfarine (2015). Bayesian analysis for zero-or-one inflated proportion data using quantile regression. Journal of Statistical Computation and Simulation. http://www.tandfonline.com /doi/abs/10.1080/00949655.2014.986733
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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