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.
| Version: | 1.0 |
| Depends: | boa, SemiPar |
| Published: | 2013-10-11 |
| Author: | L. Slaets, G. Claeskens, B.W. Silverman |
| Maintainer: | Gerda Claeskens <Gerda.Claeskens at kuleuven.be> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Citation: | MRwarping citation info |
| CRAN checks: | MRwarping results |
| Reference manual: | MRwarping.pdf |
| Package source: | MRwarping_1.0.tar.gz |
| Windows binaries: | r-devel: MRwarping_1.0.zip, r-release: MRwarping_1.0.zip, r-oldrel: MRwarping_1.0.zip |
| OS X Snow Leopard binaries: | r-release: MRwarping_1.0.tgz, r-oldrel: MRwarping_1.0.tgz |
| OS X Mavericks binaries: | r-release: MRwarping_1.0.tgz |