| extract.fd | Extract curve estimates to be clustered |
| Fdr.rlrt | False discovery rate estimation for massively parallel... |
| F.mp | F-tests for massively parallel linear models |
| funkmeans | Functional k-means clustering for parallel smooths |
| funkmeans4d | Functional k-means clustering for parallel smooths for... |
| lm4d | Voxelwise linear models |
| lm.mp | Massively parallel linear regression models |
| nii2R | NIfTI-to-R conversion |
| permF.mp | Permutation F-tests for massively parallel linear models |
| plot.funkmeans | Plotting of k-means clustering results for massively parallel... |
| plot.rlrt4d | Display cross-sections of voxelwise RLRT results |
| plot.semipar.mp | Plot massively parallel semiparametric models |
| qplsc.mp | Quadratically penalized least squares with constraints |
| R2nii | Save data to a NIfTI file |
| rlrt4d | Voxelwise restricted likelihood ratio tests |
| rlrt.mp | Massively parallel restricted likelihood ratio tests |
| rlrt.mp.fit | Massively parallel restricted likelihood ratio tests... |
| screen.vox | Screen voxels for a voxelwise smoothing object |
| semipar4d | Massively parallel semiparametric regression for... |
| semipar.mix.mp | Massively parallel semiparametric mixed models |
| semipar.mp | Massively parallel semiparametric regression |
| sf | Defining smooth functions in semiparametric model formulae |
| summary.lm.mp | Summarizing massively parallel linear model fits |
| test | Toy data set |
| vows-internal | Internal functions for the vows package |
| vows-mgcv | Utility functions related to the mgcv package |
| vows-package | Voxelwise semiparametrics |
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