#' Expenditures with durable goods in Brazil.
#'
#' A dataset containing the expenditures with durable goods for the state of
#' Maranhao, in Brazil, from the "Consumer Expenditure Survey", which took
#' place between 2008 and 2009.
#'
#' @format A data frame with 2240 rows and 6 variables:
#' \describe{
#' \item{expenditure}{expenditure, in Brazilian reais}
#' \item{gender}{1 for male, 2 for female}
#' \item{age}{Age, in years.}
#' \item{race}{1 for white, 2 for non-white}
#' \item{credit_card}{1 if the observation has credit card, 2 otherwise.}
#' \item{education}{Education, in years.}
#' }
#' @source \url{http://www.ibge.gov.br/english/estatistica/populacao/
#' condicaodevida/pof/2008_2009/default.shtm}
#' @references Santos and Bolfarine (2015) - Bayesian quantile regression
#' analysis for continuous data with a discrete component at zero.
#' \emph{Preprint}. \url{http://arxiv.org/abs/1511.05925}
"BrazilDurableGoods"
#' Proportion of households with access to electricity in Brazil
#'
#' 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.
#'
#' @format A data frame with 500 rows and 6 variables:
#' \describe{
#' \item{prop_elec}{propotion of households with access to electricity.}
#' \item{region}{2 for Northeast, 3 for Southeast.}
#' \item{population}{Population, in years.}
#' \item{income_percap}{Income per capita, in Brazilian reais.}
#' \item{hdi}{Human development index.}
#' \item{pop_density}{Population density.}
#' }
#' @source \url{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. \emph{Journal of
#' Statistical Computation and Simulation}. \url{http://www.tandfonline.com
#' /doi/abs/10.1080/00949655.2014.986733}
"BrazilElectricity"
#' Gini index for Brazilian states in three censuses.
#'
#' A dataset containing data about the Gini index of 27 Brazilian states for
#' three different censuses, 1991, 2000 and 2010, where each row represents
#' the data about a specific state in a specific census year.
#'
#' @format A data frame with 81 rows and 4 variables:
#' \describe{
#' \item{UFN}{Name of the state}
#' \item{GINI}{Gini index}
#' \item{INCPC}{Average income per capita}
#' \item{EDUC}{Average years of education}
#' \item{YEAR}{Year of the census}
#' }
#' @source \url{http://www.ibge.gov.br/english/estatistica/populacao/
#' default_censo_2000.shtm}
#' @references Santos and Bolfarine (2016). On Bayesian quantile regression
#' and outliers. \url{http://arxiv.org/abs/1601.07344}
"BrazilGini"
#' Results of the Brazilian presidential election in 2014, with percentage of
#' votes for Dilma Rousseff by city.
#'
#' A dataset containing data about the presidential election of 2014 in the
#' total 5501 cities, where a few cities were not included in this dataset,
#' for which it was not possible to match the information for votes and the
#' other predictor variables.
#'
#' @format A data frame with 5501 rows and 13 variables:
#' \describe{
#' \item{city}{Name of the city.}
#' \item{UF}{Code for the state.}
#' \item{UF_name}{Code of two letters for the state.}
#' \item{Region}{Region of the city: 1 = North, 2 = Northeast,
#' 3 = Southeast, 4 = South, 5 = Midwest.}
#' \item{percVotes}{Percentage of votes to Dilma Rouseff}
#' \item{income_delta}{Relative difference between income per capita in 2010
#' and 2000.}
#' \item{Gini_delta}{Relative difference between the Gini index in 2010 and
#' 2000.}
#' \item{Years_educ}{Years of education.}
#' \item{HDI}{Human development index.}
#' \item{avepay_BF}{Average payment received for the participant families in
#' the federal program for indirect cash transfer, called Bolsa-Familia.}
#' \item{population}{Population number in 2010.}
#' \item{latitude}{Latitude.}
#' \item{longitude}{Longitude.}
#' }
#' @source \url{http://www.tse.jus.br/eleicoes/estatisticas/repositorio-de-dados-eleitorais}
"BrazilElection2014"
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