nimare.meta.kernel

Kernel transformers for CBMA algorithms.

Methods for estimating thresholded cluster maps from neuroimaging contrasts (Contrasts) from sets of foci and optional additional information (e.g., sample size and test statistic values).

Classes

ALEKernel([fwhm, sample_size, memory, ...])	Generate ALE modeled activation images from coordinates and sample size.
KDAKernel([r, value, memory, memory_level])	Generate KDA modeled activation images from coordinates.
KernelTransformer([memory, memory_level])	Base class for modeled activation-generating methods in kernel.
MKDAKernel([r, value, memory, memory_level])	Generate MKDA modeled activation images from coordinates.