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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 |
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| 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:
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