svcm: 2d and 3d Space-Varying Coefficient Models

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

Downloads:

Reference manual: svcm.pdf
Package source: svcm_0.1.2.tar.gz
OS X binary: svcm_0.1.2.tgz
Windows binary: svcm_0.1.2.zip
Old sources: svcm archive

Reverse dependencies:

Reverse depends: MortalitySmooth