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.. _api_reference_statistics:
Statistics
==========
:py:mod:`mne.stats`:
.. automodule:: mne.stats
:no-members:
:no-inherited-members:
.. currentmodule:: mne.stats
Parametric statistics (see :mod:`scipy.stats` and :mod:`statsmodels` for more
options):
.. autosummary::
:toctree: generated/
ttest_1samp_no_p
ttest_ind_no_p
f_oneway
f_mway_rm
f_threshold_mway_rm
linear_regression
linear_regression_raw
Mass-univariate multiple comparison correction:
.. autosummary::
:toctree: generated/
bonferroni_correction
fdr_correction
Non-parametric (clustering) resampling methods:
.. autosummary::
:toctree: generated/
combine_adjacency
permutation_cluster_test
permutation_cluster_1samp_test
permutation_t_test
spatio_temporal_cluster_test
spatio_temporal_cluster_1samp_test
summarize_clusters_stc
bootstrap_confidence_interval
Compute ``adjacency`` matrices for cluster-level statistics:
.. currentmodule:: mne
.. autosummary::
:toctree: generated/
channels.find_ch_adjacency
channels.read_ch_adjacency
spatial_dist_adjacency
spatial_src_adjacency
spatial_tris_adjacency
spatial_inter_hemi_adjacency
spatio_temporal_src_adjacency
spatio_temporal_tris_adjacency
spatio_temporal_dist_adjacency
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