2d and 3d space-varying coefficient models are fitted to regular grid data using either a full B-spline tensor product approach or a sequential approximation. The latter one is computationally more efficient. Resolution increment is enabled.
| Version: | 0.1.2 |
| Depends: | R (≥ 2.4.0), Matrix, splines |
| Published: | 2009-06-14 |
| Author: | Susanne Heim, with support from Paul Eilers, Thomas Kneib, and Michael Kobl |
| Maintainer: | Susanne Heim <susanneheim at gmx.net> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.statistik.lmu.de/~heim |
| NeedsCompilation: | yes |
| Citation: | svcm citation info |
| CRAN checks: | svcm results |
| Reference manual: | svcm.pdf |
| Package source: | svcm_0.1.2.tar.gz |
| Windows binaries: | r-devel: svcm_0.1.2.zip, r-release: svcm_0.1.2.zip, r-oldrel: svcm_0.1.2.zip |
| macOS binaries: | r-release: svcm_0.1.2.tgz, r-oldrel: svcm_0.1.2.tgz |
| Old sources: | svcm archive |
| Reverse depends: | MortalitySmooth |
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