svcm (version 0.1.2)

2d and 3d Space-Varying Coefficient Models

Description

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.

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Version

Install

install.packages('svcm')

Monthly Downloads

Version

0.1.2

License

GPL (>= 2)

Maintainer

Susanne Heim

Last Published

June 14th, 2009

Functions in svcm (0.1.2)

cleversearch

Optimization over a parameter grid

brain2d

Two-dimensional Diffusion Weighted Dataset

resolution

Re-scaling resolution of SVCM predictors and effects

brain3d

Three-dimensional Diffusion Weighted Dataset

svcm-package

2d and 3d Space-Varying Coefficient Models

svcm

Fitting space-varying coefficient models