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 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.