% 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
}