Voxelwise Semiparametrics

[Up] [Top]

Documentation for package ‘vows’ version 0.5

Help Pages

vows-package Voxelwise semiparametrics
extract.fd Extract curve estimates to be clustered
F.mp F-tests for massively parallel linear models
Fdr.rlrt False discovery rate estimation for massively parallel restricted likelihood ratio tests
funkmeans Functional k-means clustering for parallel smooths
funkmeans4d Functional k-means clustering for parallel smooths for 4-dimensional data
lm.mp Massively parallel linear regression models
lm4d Voxelwise linear 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 smooths
plot.rlrt4d Display cross-sections of voxelwise RLRT results
plot.semipar.mp Plot massively parallel semiparametric models
Predict.matrix.bspline.smooth Utility functions related to the mgcv package
qplsc.mp Quadratically penalized least squares with constraints
R2nii Save data to a NIfTI file
rlrt.mp Massively parallel restricted likelihood ratio tests
rlrt.mp.fit Massively parallel restricted likelihood ratio tests (internal)
rlrt4d Voxelwise restricted likelihood ratio tests
screen.vox Screen voxels for a voxelwise smoothing object
semipar.mix.mp Massively parallel semiparametric mixed models
semipar.mp Massively parallel semiparametric regression
semipar4d Massively parallel semiparametric regression for 4-dimensional data
sf Defining smooth functions in semiparametric model formulae
smooth.construct.be.smooth.spec Utility functions related to the mgcv package
smooth.construct.bq.smooth.spec Utility functions related to the mgcv package
summary.lm.mp Summarizing massively parallel linear model fits
test Toy data set
vows Voxelwise semiparametrics
vows-mgcv Utility functions related to the mgcv package