v1.2.1

What's Changed

• Support Python 3.10 by @michaelosthege in #7

Full Changelog: v1.2.0...v1.2.1

v1.2.0

What's Changed

• Dropped PyMC3 compatibility in favor of PyMC v5 by @michaelosthege in #32
• Fixed a docstring typo by @simoneschito in #30

New Contributors

• @simoneschito made their first contribution in #30

Full Changelog: v1.1.3...v1.2.0

v1.1.3

What's Changed

• Upgrade PyMC dependencies for testing by @michaelosthege in #23
• Add test dataset and regression test for #24 by @michaelosthege in #25
• Check availability of filtersets (closes #24) by @LarsHalle in #26
• Avoid deprecated pandas method and bump version by @michaelosthege in #27

New Contributors

• @LarsHalle made their first contribution in #26

Full Changelog: v1.1.2...v1.1.3

v1.1.2

What's Changed

• Another PyMC 4.0.0b6 compatibility bugfix in bletl.growth.
• Increased NUTS robustness in bletl.growth by switching from "jitter+adapt_diag" to "adapt_diag" NUTS initialization.

Full Changelog: v1.1.1...v1.1.2

v1.1.1

What's Changed

• Automate consistent code style by @michaelosthege in #19
• Updated notebook 4 by @Y0dler in #20
• Update citation instructions by @michaelosthege in #21
• Fix import and compatibility with PyMC v4.0.0b6 by @michaelosthege in #22

New Contributors

• @Y0dler made their first contribution in #20

Full Changelog: v1.1.0...v1.1.1

v1.1.0

What's Changed

• Refactored the bletl.growth submodule for compatibility with PyMC 4.0.0b2 by @michaelosthege in #15

Full Changelog: v1.0.5...v1.1.0

v1.0.5

What's Changed

• BioLector II/Pro measurement rows with REFOVERLD are now skipped in parsing (see #13).

Full Changelog: v1.0.4...v1.0.5

v1.0.4

Fixes a bug in parsing of BioLector Pro result files where metadata of custom-named filtersets was not correctly extracted.

See #9 for details.

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.

v1.0.2

• Fixes a bug in the bletl.growth._make_random_walk helper function that caused the nu kwarg to be ignored.
• Also adds a nu kwarg to the fit_mu_t function to allow for fine-tuning of switchpoint prior probability.

Also see 29bf6db.