% Generated by roxygen2: do not edit by hand % Please edit documentation in R/GK.R name{rcbr.fit.GK} alias{rcbr.fit.GK} title{Gautier and Kitamura (2013) bivariate random coefficient binary response} usage{ rcbr.fit.GK(X, y, control) } description{ 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{logLik} and \code{plot}.requires orthopolynom
package for Gegenbauer polynomials

} details{ @param X the design matrix expected to have an intercept column of ones as the first column.

@param  y the binary response.
@param  control is a list of tuning parameters for the fitting,see

code{GK.control} for further details.

@return a list with components:
\describe{  
  \item  {u}grid values
  \item  {v}grid values
  \item  {w}estimated function values on 2d u x v grid
  \item  {X}design matrix
  \item  {y}response vector 
}

@author Gautier and Kitamura for original matlab version, Jiaying Gu

and Roger Koenker for the R translation.

@references

Gautier, E. and Y. Kitamura (2013)  Nonparametric estimation in random coefficients
binary choice models, \emph{Ecoonmetrica}, 81, 581-607.

@keywords nonparametrics

@export

}