mosaicperm.panel.MosaicPanelInference.fit

MosaicPanelInference.fit(nrand: int = 10000, alpha: int = 0.05, features: array | None = None, verbose: bool = True, use_centered_stat: bool = False)

Fits the linear model and computes confidence interva

Parameters:

nrandint

Number of randomizations.

alphaint

Desired nominal Type I error rate.

featuresnp.array

The list of features to compute CIs for. Defaults to all features.

verbosebool

If True, show progress bars.

use_centered_statbool

If True, uses a randomization-centered statistic. This (perhaps pardoxically) leads to slightly higher standard errors but narrower confidence intervals.

Returns:

selfobject