Parametric Bootstrap Joint Testing Procedures for Neuroimaging


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Documentation for package ‘pbj’ version 0.1.6

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addSignal Loads NIfTI Images and Adds Synthetic Signal
bootStats Computes Statistical Map for Neuroimaging Data
coef.statMap Gets a 4D niftiImage of the statistical image from a statMap object
getDesign Gets a Design Matrix for a GAM or Linear Model
getPvalues Gets p-values for Simulation Study
image.CoPE Image a CoPE object
image.niftiImage Create images of a NiFTI object
image.pbj Image a pbj object See image.statMap for additional arguments
image.statMap Create images of a statMap
lmPBJ Computes Statistical Map for Neuroimaging Data
npbj Performs nonParametric Bootstrap Joint (nPBJ) Inference
npbj.sei Spatial extent inference function passed to npbj function
palm this is an R wrapper function for PALM it has limited functionality for the features that PALM offers
pbjExSet Constructs (semi)Parametric Bootstrap Joint ((s)PBJ) Coverage Probability Excursion (CoPE) Sets
pbjSEI Performs (semi)Parametric Bootstrap Joint ((s)PBJ) Spatial Extent Inference
resave Updates a .Rdata file
residualizeImages Prepares Simulation Data for Bootstrapping
stat.statMap Gets a 4D niftiImage of the coefficient image from a statMap object
var.statMap Gets a niftiImage of the variance image from a statMap object
write.pbj Write a pbj object to disk
write.statMap Write the statMap objects out