The function/class applying statistical adjustments to the output of the meta-analysis (optional).
| Name | Type | Description | Notes |
|---|---|---|---|
| type | str | the name of the function/class performing the correction. For example FWECorrector from NiMARE would be valid. | [optional] |
| args | object | key word arguments passed to the corrector to modidy default functionality, such as number of iterations, or the particular method of correction being applied. | [optional] |
from neurosynth_compose_sdk.models.corrector import Corrector
# TODO update the JSON string below
json = "{}"
# create an instance of Corrector from a JSON string
corrector_instance = Corrector.from_json(json)
# print the JSON string representation of the object
print Corrector.to_json()
# convert the object into a dict
corrector_dict = corrector_instance.to_dict()
# create an instance of Corrector from a dict
corrector_form_dict = corrector.from_dict(corrector_dict)