Nothing
The Bayesian procedure starts with one warplet in the model and uses the posterior distributions as priors for a more extended model with one more warplet. The model is built with adding one warplet at a time and allows for amplitude variations.
Package details |
|
---|---|
Author | L. Slaets, G. Claeskens, B.W. Silverman |
Maintainer | Gerda Claeskens <Gerda.Claeskens@kuleuven.be> |
License | GPL-2 |
Version | 1.0 |
Package repository | View on CRAN |
Installation |
Install the latest version of this package by entering the following in R:
|
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.