fips.visualization.compute_credible_interval# fips.visualization.compute_credible_interval(samples, q=(0.05, 0.95))[source]# Compute lower and upper quantiles along the first axis of samples. Parameters: samples (ArrayLike) – Array of samples with shape (n_samples, …). Quantiles computed along axis 0. q (tuple[float, float], default (0.05, 0.95)) – Lower and upper quantile values in [0, 1]. Return type: tuple[ndarray, ndarray] Returns: lower (np.ndarray) – Lower quantile values. upper (np.ndarray) – Upper quantile values.