Man pages for bbemkr
Bayesian bandwidth estimation for multivariate kernel regression with Gaussian error
| bbemkr-package | Bayesian bandwidth estimation for multivariate kernel... |
| cost | Negative of log posterior associated with the bandwidths |
| cost2_gaussian | Negative of log posterior associated with the error variance |
| cost_admkr | Negative of log posterior associated with the bandwidths |
| cov_chol | Calculate log marginal likeliood from MCMC output |
| cov_chol_admkr | Calculate log marginal likelihood from MCMC output |
| data_x | Simulated three-dimensional regressors |
| data_ynorm | Simulated response variable |
| data_yt | Simulated response variable |
| gibbs_admkr_erro | Estimating bandwidth of the kernel-form error density |
| gibbs_admkr_nw | Estimating bandwidths of the regressors |
| ker | Type of kernel function |
| kern | Calculate the R square value and mean square error as... |
| LaplaceMetropolis_admkr | Laplace-Metropolis estimator of log marginal likelihood |
| LaplaceMetropolis_gaussian | Laplace-Metropolis estimator of log marginal likelihood |
| logdensity_admkr | Calculate an estimate of log posterior ordinate used in the... |
| logdensity_gaussian | Calculate an estimate of log posterior ordinate used in the... |
| loglikelihood_admkr | Calculate the log likelihood used in the Chib's (1995) log... |
| loglikelihood_gaussian | Calculate the log likelihood used in the Chib's (1995) log... |
| logpriorh2 | Prior of square bandwidths |
| logpriors_admkr | Calculate the log prior used in the log marginal density of... |
| logpriors_gaussian | Calculate the log prior used in the log marginal density of... |
| mcmcrecord_admkr | MCMC iterations |
| mcmcrecord_gaussian | MCMC iterations |
| NadarayaWatsonkernel | Nadaraya-Watson kernel estimator |
| np_gibbs | Estimating bandwidths of the regressors |
| nrr | Normal reference rule for estimating bandwidths |
| warmup_admkr | Burn-in period |
| warmup_gaussian | Burn-in period |
| xm | Values of true regression function |
