.. _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

ERP-related statistics:

.. autosummary::

   :toctree: ../generated/

   erp.compute_sme

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