Parametric Bootstrap Joint Testing Procedures for Neuroimaging


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Documentation for package ‘pbj’ version 0.1.4

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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
computeStats Computes Statistical Map for Neuroimaging Data
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.pbj Image a pbj object See image.statMap for additional arguments
image.statMap Create images of a statMap
npbj Performs nonParametric Bootstrap Joint (nPBJ) Inference
npbj.sei Spatial extent inference function passed to npbj function
pbjClust Performs (semi)Parametric Bootstrap Joint ((s)PBJ) Spatial Extent Inference
pbjExSet Constructs (semi)Parametric Bootstrap Joint ((s)PBJ) Coverage Probability Excursion (CoPE) Sets
resave Updates a .Rdata file
simulationSetup 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