Performing meta-analyses
NiMARE implements a number of coordinate- and image-based meta-analysis algorithms in its meta
module.
In the examples below, we exhibit a range of meta-analyses that can be done with coordinates and/or images in NiMARE.
For more information about the components that go into coordinate-based meta-analyses in NiMARE, see ../cbma, as well as ../outputs.
Coordinate-based meta-analysis algorithms
Coordinate-based meta-analysis algorithms
Image-based meta-analysis algorithms
Image-based meta-analysis algorithms
KernelTransformers and CBMA
The Estimator class
The Corrector class
Compare image and coordinate based meta-analyses
Compare image and coordinate based meta-analyses
Meta-analytic coactivation modeling analysis
Meta-analytic coactivation modeling analysis
Two-sample ALE meta-analysis
Simulate data for coordinate based meta-analysis
Simulate data for coordinate based meta-analysis
Run a coordinate-based meta-analysis (CBMA) workflow
Run a coordinate-based meta-analysis (CBMA) workflow
Coordinate-based meta-regression algorithms
Coordinate-based meta-regression algorithms
Run an image-based meta-analysis (IBMA) workflow
Run an image-based meta-analysis (IBMA) workflow