confint.hci

Confidence intervals for <code>hci</code> objects

Relative, generalized, and Erreygers corrected concentration index; plot Lorenz curves; and decompose health
inequalities into contributing factors. The package currently works with (generalized) linear models, survival models, complex survey models, and marginal effects probit models.
originally forked by Brecht Devleesschauwer from the 'decomp' package (no longer on CRAN), 'rineq' is now maintained by Kaspar Walter Meili. Compared to the earlier 'rineq' version on 'github' by Brecht Devleesschauwer (<https://github.com/brechtdv/rineq>), the regression tree functionality has been removed.
Improvements compared to earlier versions include improved plotting of decomposition and concentration, added functionality to calculate the concentration index with different methods, calculation of robust standard errors, and support for the decomposition analysis using marginal effects probit regression models. The development version is available at <https://github.com/kdevkdev/rineq>.

Kaspar Meili

rineq

Concentration Index and Decomposition for Health Inequalities

Brecht Devleesschauwer

Saveria Willimès

Carine Van Malderen

Peter Konings

Niko Speybroeck

confint.hci function

<dl><dt>object</dt>
<dd>An object of class <code>hci</code></dd>
<dt>parm</dt>
<dd>Unused</dd>
<dt>level</dt>
<dd>Confidence interval level defaults to <code>0.95</code></dd>
<dt>...</dt>
<dd>Unused</dd></dl>

Arguments

Confidence intervals for hci objects — confint.hci

<dl>

<dt>object</dt>
<dd>An object of class <code>hci</code></dd>


<dt>parm</dt>
<dd>Unused</dd>


<dt>level</dt>
<dd>Confidence interval level defaults to <code>0.95</code></dd>


<dt>...</dt>
<dd>Unused</dd>

</dl>

confint.hci: Confidence intervals for `hci` objects

Description

Usage

Value

Arguments

Examples