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.
|Depends:||R (≥ 2.9.0), fda, gamm4|
|Imports:||mgcv, RLRsim, oro.nifti, shape, stringr|
|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)]|
|CRAN checks:||vows results|
|Windows binaries:||r-devel: vows_0.5.zip, r-release: vows_0.5.zip, r-oldrel: vows_0.5.zip|
|OS X Mavericks binaries:||r-release: vows_0.5.tgz, r-oldrel: vows_0.5.tgz|
|Old sources:||vows archive|
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