nimare.meta.ibma
.Hedges¶
-
class
Hedges
(*args, **kwargs)[source]¶ Bases:
nimare.base.MetaEstimator
Hedges meta-regression estimator.
Estimates the between-subject variance tau^2 using the Hedges & Olkin (1985) approach.
Notes
Requires
beta
andvarcope
images.Warning
All image-based meta-analysis estimators adopt an aggressive masking strategy, in which any voxels with a value of zero in any of the input maps will be removed from the analysis.
References
Hedges LV, Olkin I. 1985. Statistical Methods for Meta‐Analysis.
See also
pymare.estimators.Hedges
The PyMARE estimator called by this class.
-
fit
(dataset)[source]¶ Fit Estimator to Dataset.
- Parameters
dataset (
nimare.dataset.Dataset
) – Dataset object to analyze.- Returns
nimare.results.MetaResult
– Results of Estimator fitting.
Notes
The
fit
method is a light wrapper that runs input validation and preprocessing before fitting the actual model. Estimators’ individual “fitting” methods are implemented as_fit
, although users should callfit
.