Bayesian bandwidth estimation for multivariate kernel regression with Gaussian error

Documentation for package ‘bbemkr’ version 1.3

bbemkr-package	Bayesian bandwidth estimation for multivariate kernel regression with Gaussian error assumption
bbecost	Negative of log posterior associated with the bandwidths
bbecost2	Negative of log posterior associated with the error variance
bbelike	Log likelihood constructed via Gaussian error assumption
bbelogdensity	Calculate an estimate of log posterior ordinate used in the log marginal density of Chib(1995).
bbeloglikelihood	Calculate the log likelihood used in the Chib's (1995) log marginal density
bbelogpriors	Calculate the log prior used in the log marginal density of Chib (1995).
bbeMCMCrecording	MCMC iterations
bbemkr	Bayesian bandwidth estimation for multivariate kernel regression with Gaussian error assumption
bbewarmup	Burn-in period
data_x	Simulated two-dimensional regressors
data_y	Simulated response variable
GasserMullerkernel	Gasser-Muller kernel estimator
ker	Type of kernel function
kern	Calculate the R square value as a measure of goodness of fit
NadarayaWatsonkernel	Nadaraya-Watson kernel estimator
np_gibbs	Estimating bandwidths of the regressors and the variance of error density
nrr	Normal reference rule
PriestleyChaokernel	Priestley-Chao kernel estimator