npbj: Performs nonParametric Bootstrap Joint (nPBJ) Inference

In neuroconductor-devel-releases/pbj: Parametric Bootstrap Joint Testing Procedures for Neuroimaging

Description

Performs nonParametric Bootstrap Joint (nPBJ) Inference

Usage

npbj(images, form, formred, mask, data = NULL, W = NULL,
  template = NULL, nboot = 1000, statistic = npbj.sei, ...)

Arguments

images	A character vector of subjects' images or a 4D niftiImage object.
form	A formula describing the full model.
formred	A formula describing the reduced model.
mask	A character string of niftiImage object identifying voxels to be included in the analysis.
data	A data frame with the variables in form for associated with subject images.
W	A weight vector for the weighted least squares regression.
template	A template image that will be included in the returned statMap object.
nboot	Number of bootstraps to perform.
statistic	A function of the form statistic(stat, ...) that takes a vector stat and other arguments to compute an image summary statistic for each bootstrap. E.g. npbj.sei.
...	Arguments passed to statistic function.

Value

Returns a list of length length(cfts)+2. The first two elements contain statMap$stat and statMap$template. The remaining elements are lists containing the following:

pvalues	A vector of p-values corresponding to the cluster labels in clustermaps.
clustermap	A niftiImage object with the cluster labels.
pmap	A nifti object with each cluster assigned the negative log10 of its cluster extent FWE adjusted p-value.
CDF	A bootstrap CDF.

See Also

npbj.sei

neuroconductor-devel-releases/pbj documentation built on Oct. 30, 2020, 7:06 a.m.