A dataset containing the proportion of the population from several cities
of the state of São Paulo, Brazil, in 2010.

datasets

Robust estimators for the beta regression, useful for modeling
bounded continuous data. Currently, four types of robust estimators are supported.
They depend on a tuning constant which may be fixed or selected by a
data-driven algorithm also implemented in the package. Diagnostic tools
associated with the fitted model, such as the residuals and goodness-of-fit
statistics, are implemented. Robust Wald-type tests are available. More details
about robust beta regression are described in Maluf et al. (2025)
<doi:10.1007/s00184-024-00949-1>.

Felipe Queiroz

robustbetareg

Robust Beta Regression

Yuri Maluf

Silvia Ferrari

HIC function

A data frame with 80 rows and 4 variables:<dl>
 <dt>CITY</dt>
<dd>the corresponding city.</dd> <dt>URB</dt>
<dd>proportion of the total population living in the
 city’s urban zone.</dd> <dt>GDP</dt>
<dd>per capita gross domestic product.</dd> <dt>HIC</dt>
<dd>the health insurance coverage index.</dd>
</dl>

Format

Health Insurance Coverage — HIC

A data frame with 80 rows and 4 variables:<dl>
 <dt>CITY</dt>
<dd>the corresponding city.</dd>

 <dt>URB</dt>
<dd>proportion of the total population living in the
 city’s urban zone.</dd>

 <dt>GDP</dt>
<dd>per capita gross domestic product.</dd>

 <dt>HIC</dt>
<dd>the health insurance coverage index.</dd>


</dl>

HIC: Health Insurance Coverage

Description

Usage

Arguments

Format

Details