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vows (version 0.3.1)

Voxelwise semiparametrics

Description

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.

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Version

Install

install.packages('vows')

Monthly Downloads

11

Version

0.3.1

License

GPL (>= 2)

Maintainer

Philip Reiss

Last Published

January 8th, 2015

Functions in vows (0.3.1)

funkmeans

Functional k-means clustering for parallel smooths
funkpanel

Interactive visualization of massively parallel smoothing results
permF.mp

Permutation F-tests for massively parallel linear models
rlrt4d

Voxelwise restricted likelihood ratio tests
vows-mgcv

Utility functions related to the mgcv package
rlrt.mp

Massively parallel restricted likelihood ratio tests
vows-internal

Internal functions for the vows package
funkmeans4d

Functional k-means clustering for parallel smooths for 4-dimensional data
F.mp

F-tests for massively parallel linear models
sf

Defining smooth functions in semiparametric model formulae
summary.lm.mp

Summarizing massively parallel linear model fits
extract.fd

Extract curve estimates to be clustered
screen.vox

Screen voxels for a voxelwise smoothing object
rlrt.mp.fit

Massively parallel restricted likelihood ratio tests (internal)
test

Toy data set
plot.rlrt4d

Display cross-sections of voxelwise RLRT results
R2nii

Save data to a NIfTI file
semipar.mp

Massively parallel semiparametric regression
vows-package

Voxelwise semiparametrics
lm4d

Voxelwise linear models
plot.funkmeans

Plotting of k-means clustering results for massively parallel smooths
semipar.mix.mp

Massively parallel semiparametric mixed models
Fdr.rlrt

False discovery rate estimation for massively parallel restricted likelihood ratio tests
qplsc.mp

Quadratically penalized least squares with constraints
rlrtpanel

Interactive visualization of voxelwise RLRT results
nii2R

NIfTI-to-R conversion
plot.semipar.mp

Plot massively parallel semiparametric models
lm.mp

Massively parallel linear regression models
semipar4d

Massively parallel semiparametric regression for 4-dimensional data