nimare.meta.ibma
.Fishers¶
-
class
Fishers
(two_sided=True, *args, **kwargs)[source]¶ An image-based meta-analytic test using t- or z-statistic images. Requires z-statistic images, but will be extended to work with t-statistic images as well.
- Parameters
two_sided (
bool
, optional) – Whether to do a two- or one-sided test. Default is True.
References
Fisher, R. A. (1934). Statistical methods for research workers. Statistical methods for research workers., (5th Ed). https://www.cabdirect.org/cabdirect/abstract/19351601205
Notes
Sum of -log P-values (from T/Zs converted to Ps)
-
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.