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 |