Bayesian bandwidth estimation and semi-metric selection for the functional kernel regression with unknown error density


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Documentation for package ‘bbefkr’ version 4.2

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bbefkr-package Bayesian bandwidth estimation for the functional kernel regression with unknown error density
admkr.cdf Compute the probability density function and cumulative probability density function of the error, using a global bandwidth of residuals
bayMCMC_np_global Bayesian bandwidth estimation for a functional nonparametric regression with homoscedastic errors
bayMCMC_np_local Bayesian bandwidth estimation for a functional nonparametric regression with homoscedastic errors
bayMCMC_semi_global Bayesian bandwidth estimation for a semi-functional partial linear model
bayMCMC_semi_local Bayesian bandwidth estimation for a semi-functional partial linear model
bbefkr Bayesian bandwidth estimation for the functional kernel regression with unknown error density
error.cdfadj Compute the probability density function and cumulative probability density function of error, using localised bandwidths of residuals
error.den Compute the probability density function and cumulative probability density function of the error, using a global bandwidth of residuals
error.denadj Compute the probability density function and cumulative probability density function of error, using localised bandwidths of residuals
fat Spectroscopy tecator data
funopare.kernel Functional Nadaraya-Watson estimator
logdensity_admkr Compute the marginal likelihood using Chib's (1995) method
loglikelihood_global_admkr Compute the marginal likelihood using Chib's (1995) method
loglikelihood_local_admkr Compute the marginal likelihood using Chib's (1995) method
logpriorh2 Prior density of the squared bandwidth parameters
logpriors_admkr Compute the marginal likelihood using Chib's (1995) method
moisture Spectroscopy tecator data
protein Spectroscopy tecator data
SIF Simulation inefficiency factor
simcurve_rough_normerr Simulated data set
simcurve_smooth_normerr Simulated data set
simresp_np_normerr Simulated data set
simresp_semi_normerr Simulated real-valued predictors in the semi-functional partial linear model
simulate_error Simulate errors
specurves Spectroscopy tecator data
tau_normerr Simulated data set
tau_semierr Simulated real-valued predictors in the semi-functional partial linear model
Xvar Simulated real-valued predictors in the semi-functional partial linear model