Parametric and semiparametric inference for massively parallel models, i.e., a large number of models with common design matrix, as often occurs with brain imaging data.
| Version: | 0.5 |
| Depends: | R (≥ 2.9.0), fda, gamm4 |
| Imports: | mgcv, RLRsim, oro.nifti, shape, stringr |
| Published: | 2016-08-21 |
| Author: | Philip Reiss, Yin-Hsiu Chen, Lei Huang, Lan Huo, Ruixin Tan, and Rong Jiao |
| Maintainer: | Philip Reiss <phil.reiss at nyumc.org> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | no |
| CRAN checks: | vows results |
| Reference manual: | vows.pdf |
| Package source: | vows_0.5.tar.gz |
| Windows binaries: | r-devel: vows_0.5.zip, r-release: vows_0.5.zip, r-oldrel: vows_0.5.zip |
| macOS binaries: | r-release: vows_0.5.tgz, r-oldrel: vows_0.5.tgz |
| Old sources: | vows archive |
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