nimare.meta.ibma

Image-based meta-analysis estimators.

Classes

DerSimonianLaird([aggressive_mask, memory, ...])	DerSimonian-Laird meta-regression estimator.
Fishers([aggressive_mask, memory, ...])	An image-based meta-analytic test using t- or z-statistic images.
Hedges([aggressive_mask, memory, ...])	Hedges meta-regression estimator.
IBMAEstimator([aggressive_mask, memory, ...])	Base class for meta-analysis methods in meta.
PermutedOLS([two_sided])	An analysis with permuted ordinary least squares (OLS), using nilearn.
SampleSizeBasedLikelihood([method])	Method estimates with known sample sizes but unknown sampling variances.
Stouffers([use_sample_size])	A t-test on z-statistic images.
VarianceBasedLikelihood([method])	A likelihood-based meta-analysis method for estimates with known variances.
WeightedLeastSquares([tau2])	Weighted least-squares meta-regression.