funkmeans
(Package: vows) :
Functional k-means clustering for parallel smooths
This function performs k-means clustering for curve estimates corresponding to each of a 3D grid of points. For example, when scatterplot smoothing is performed at each of a grid of brain voxels as in Reiss et al. (2014), this function can be used to cluster the obtained smooths.
● Data Source:
CranContrib
● Keywords:
● Alias: funkmeans
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lm4d
(Package: vows) :
Voxelwise linear models
This is a wrapper function for lm.mp to handle 3D image responses.
● Data Source:
CranContrib
● Keywords:
● Alias: lm4d
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Fdr.rlrt
(Package: vows) :
False discovery rate estimation for massively parallel restricted likelihood
Given a set of RLRT results and a threshold, this function outputs an estimate of the FDR (in the empirical Bayes sense of Efron, 2010) when the given threshold is used to determine which null hypotheses to reject.
● Data Source:
CranContrib
● Keywords:
● Alias: Fdr.rlrt
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screen.vox
(Package: vows) :
Screen voxels for a voxelwise smoothing object
Inputs a voxelwise smoothing object as produced by semipar4d, and outputs an object containing the results for a subset of the voxels.
● Data Source:
CranContrib
● Keywords:
● Alias: screen.vox
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rlrt4d
(Package: vows) :
Voxelwise restricted likelihood ratio tests
A wrapper function for rlrt.mp to handle 3D image responses.
● Data Source:
CranContrib
● Keywords:
● Alias: rlrt4d
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semipar.mp
(Package: vows) :
Massively parallel semiparametric regression
Fits a possibly very large number of semiparametric models by quadratically penalized least squares. The model may include a combination of parametric terms, smooth terms, varying-coefficient terms, and simple random effect structures.
● Data Source:
CranContrib
● Keywords:
● Alias: semipar.mp
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R2nii
(Package: vows) :
Save data to a NIfTI file
This function can be used to output the results of voxelwise RLRT or smoothing.
● Data Source:
CranContrib
● Keywords:
● Alias: R2nii
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funkmeans4d
(Package: vows) :
Functional k-means clustering for parallel smooths for 4-dimensional data
This is a wrapper function for funkmeans to handle 3D image responses.
● Data Source:
CranContrib
● Keywords:
● Alias: funkmeans4d
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vows-internal
(Package: vows) :
Internal functions for the vows package
These functions are ordinarily not to be called by the user, but if you contact the authors with any questions about them, we'll do our best to clarify matters.
● Data Source:
CranContrib
● Keywords: internal
● Alias: get.ind, rlr.xz, vec2img, vows-internal
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vows-mgcv
(Package: vows) :
Utility functions related to the mgcv package
These internal functions are used by semipar.mix.mp (but can also be used more generally) to customize the implementation of B-spline smoothing by gam. Specifically, a B-spline smooth with equispaced knots can be incorporated in a call to gam using a term of the form s(x,bs="be"), whereas knots at equally spaced quantiles of the data can be specified by s(x,bs="bq").
● Data Source:
CranContrib
● Keywords:
● Alias: Predict.matrix.bspline.smooth, smooth.construct.be.smooth.spec, smooth.construct.bq.smooth.spec, vows-mgcv
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