nimare.meta.ibma
.Stouffers¶
-
class
Stouffers
(inference='ffx', null='theoretical', n_iters=None, two_sided=True, *args, **kwargs)[source]¶ A t-test on z-statistic images. Requires z-statistic images.
- Parameters
inference ({‘ffx’, ‘rfx’}, optional) – Whether to use fixed-effects inference (default) or random-effects inference.
null ({‘theoretical’, ‘empirical’}, optional) – Whether to use a theoretical null T distribution or an empirically- derived null distribution determined via sign flipping. Empirical null is only possible if
inference = 'rfx'
.n_iters (
int
orNone
, optional) – The number of iterations to run in estimating the null distribution. Only used ifinference = 'rfx'
andnull = 'empirical'
.two_sided (
bool
, optional) – Whether to do a two- or one-sided test. Default is True.
References
Stouffer, S. A., Suchman, E. A., DeVinney, L. C., Star, S. A., & Williams Jr, R. M. (1949). The American Soldier: Adjustment during army life. Studies in social psychology in World War II, vol. 1. https://psycnet.apa.org/record/1950-00790-000
-
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.