Random Coefficient Binary Response Estimation

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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