nimare.meta.ibma
.WeightedStouffers¶
-
class
WeightedStouffers
(two_sided=True, *args, **kwargs)[source]¶ An image-based meta-analytic test using z-statistic images and sample sizes. Zs from bigger studies get bigger weights.
- Parameters
two_sided (
bool
, optional) – Whether to do a two- or one-sided test. Default is True.
References
Zaykin, D. V. (2011). Optimally weighted Z‐test is a powerful method for combining probabilities in meta‐analysis. Journal of evolutionary biology, 24(8), 1836-1841. https://doi.org/10.1111/j.1420-9101.2011.02297.x
-
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
.
-
get_params
(deep=True)[source]¶ Get parameters for this estimator.
- Parameters
deep (boolean, optional) – If True, will return the parameters for this estimator and contained subobjects that are estimators.
- Returns
params (mapping of string to any) – Parameter names mapped to their values.