Package: bbefkr
Type: Package
Title: Bayesian bandwidth estimation and semi-metric selection for the
        functional kernel regression with unknown error density
Version: 4.2
Date: 2014-04-29
Depends: R (>= 3.0.3), splines
Author: Han Lin Shang
Maintainer: Han Lin Shang <hanlin.shang@anu.edu.au>
Description: Estimating optimal bandwidths for the regression mean function approximated by the functional Nadaraya-Watson estimator and the error density approximated by a kernel density of residuals simultaneously in a scalar-on-function regression. As a by-product of Markov chain Monte Carlo, the optimal choice of semi-metric is selected based on largest marginal likelihood.
License: GPL (>= 2)
LazyLoad: yes
LazyData: yes
URL: https://sites.google.com/site/hanlinshangswebsite/
Packaged: 2014-04-28 22:07:42 UTC; hanlinshang
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2014-04-29 07:59:07
Built: R 4.0.2; ; 2020-07-15 08:58:18 UTC; unix
