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Estimating optimal bandwidths for the regression mean function approximated by the functional NadarayaWatson estimator and the error density approximated by a kernel density of residuals simultaneously in a scalaronfunction regression. As a byproduct of Markov chain Monte Carlo, the optimal choice of semimetric is selected based on largest marginal likelihood.
Package details 


Author  Han Lin Shang 
Maintainer  Han Lin Shang <hanlin.shang@anu.edu.au> 
License  GPL (>= 2) 
Version  4.2 
URL  https://sites.google.com/site/hanlinshangswebsite/ 
Package repository  View on CRAN 
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