mne.stats.bootstrap_confidence_interval#

mne.stats.bootstrap_confidence_interval(arr, ci=0.95, n_bootstraps=2000, stat_fun='mean', random_state=None)[source]#

Get confidence intervals from non-parametric bootstrap.

Parameters:

arrndarray, shape (n_samples, …): The input data on which to calculate the confidence interval.
cifloat: Level of the confidence interval between 0 and 1.
n_bootstrapsint: Number of bootstraps.
stat_funstr | callable(): Can be “mean”, “median”, or a callable operating along axis=0.
random_stateint | float | array_like | None: The seed at which to initialize the bootstrap.

Returns:

cisndarray, shape (2, …): Containing the lower boundary of the CI at cis[0, ...] and the upper boundary of the CI at cis[1, ...].

Examples using `mne.stats.bootstrap_confidence_interval`#