rcbr.fit.GK

This is an implementation based on the matlab version of Gautier and
Kitamura's deconvolution method for the bivariate random coefficient 
binary response model. Methods based on the fitted object are provided
for <code>predict</code>, <code>logLik</code> and <code>plot</code>.requires orthopolynom
package for Gegenbauer polynomials

nonparametrics

Nonparametric maximum likelihood estimation methods
for random coefficient binary response models and some related
functionality for sequential processing of hyperplane arrangements.
See J. Gu and R. Koenker (2020) <DOI:10.1080/01621459.2020.1802284>.

Roger Koenker

RCBR

Random Coefficient Binary Response Estimation

Jiaying Gu

rcbr.fit.GK function

<dl><dt>X</dt>
<dd>the design matrix expected to have an intercept column of
ones as the first column.</dd>
<dt>y</dt>
<dd>the binary response.</dd>
<dt>control</dt>
<dd>is a list of tuning parameters for the fitting,see
<code>GK.control</code> for further details.</dd></dl>

Arguments

Gautier and Kitamura for original matlab version, Jiaying Gu
and Roger Koenker for the R translation.

Author

Gautier and Kitamura (2013) bivariate random coefficient binary response — rcbr.fit.GK

<dl>

<dt>X</dt>
<dd>the design matrix expected to have an intercept column of
ones as the first column.</dd>


<dt>y</dt>
<dd>the binary response.</dd>


<dt>control</dt>
<dd>is a list of tuning parameters for the fitting,see
<code>GK.control</code> for further details.</dd>

</dl>

rcbr.fit.GK: Gautier and Kitamura (2013) bivariate random coefficient binary response

Description

Usage

Value

Arguments

Author

References