R: Random Coefficient Binary Response Estimation

# Random Coefficient Binary Response Estimation

## Documentation for package ‘RCBR’ version 0.6.2

- DESCRIPTION file
- Code demos. Use demo() to run them.

## Help Pages

bounds.KW2 | Prediction of Bounds on Marginal Effects
GH | Current Status Linear Regression
GH.se | Current Status Linear Regression Standard Errors
GK.control | Control parameters for Gautier-Kitamura bivariate random coefficient binary response
Horowitz93 | Horowitz (1993) Modal Choice Data
KW.control | Control parameters for NPMLE of bivariate random coefficient binary response
KWDual | Dual optimization for Kiefer-Wolfowitz problems
logLik.GK | log likelihood for Gautier Kitamura procedure
logLik.KW1 | log likelihood for KW1 procedure
neighbours | Check Neighbouring Cell Counts
NICER | New Incremental Cell Enumeration (in) R
NICERd | New (Accelerated) Incremental Cell Enumeration (in) R
plot.GK | Plot a GK object
plot.KW2 | Plot a KW2 object
polycount | Check Cell Count for degenerate hyperplane arrangements
polyzone | Identify crossed polygons from existing cells when adding a new line (works only for dim = 2)
prcbr | Profiling estimation methods for RCBR models
predict.GK | Prediction of Marginal Effects
predict.KW2 | Prediction of Marginal Effects
rcbr | Estimation of Random Coefficient Binary Response Models
rcbr.fit | Fitting of Random Coefficient Binary Response Models
rcbr.fit.GK | Gautier and Kitamura (2013) bivariate random coefficient binary response
rcbr.fit.KW1 | NPMLE fitting for the Cosslett random coefficient binary response model
rcbr.fit.KW2 | NPMLE fitting for random coefficient binary response model
witness | Find witness point