v1.0.3

This release brings bugfixes and a tiny breaking change related to the bletl.growth.fit_mu_t function:

• The model was refactored to describe µ only for the segments inbetween the data points. This removes a bias introduced by incorrectly shifting the prediction by 1 timestep. Unfortunately this also means that X and mu have different lengths, so the GrowthRateResult.t was removed in favor of GrowthRateResult.t_data and GrowthRateResult.t_segments.
• A mu_prior kwarg was added to fit_mu_t. This allows the user to predefine where the random walk should start and can greatly improve the result on datasets that don't start with a lag phase.
• The σ kwarg was renamed to drift_scale and is no longer optional.
• The probability threshold used for switchpoint detection can now be user-configured.
• Two bugs in filtering detected switchpoints were fixed.
• Initial growh rate guesses are now clipped to the interval [-0.5, 0.5].

See #4 and #5 for more information.