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