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Releases: bjmorgan/kinisi

kinisi-0.3.7

01 Mar 16:54
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  • Bug fix in the diffusion resampling, previously the p_value parameter was never updated leading to normal test only being applied once. This has been resolved with this release.

kinisi-0.3.6

27 Feb 09:34
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  • Return to using the SciPy multivariate normal distribution.

kinisi-0.3.5

26 Feb 18:04
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  • Remove the condition number control from the matrix module

kinisi-0.3.4a

26 Feb 12:00
d48406a
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See kinisi-0.3.4. This release is to trigger the PyPI distribution release.

kinisi-0.3.4

26 Feb 11:43
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  • Improve stability of likelihood sampling by using hand rolled likelihood function.
  • Reverted the removal the rtol parameter from the bootstrap method.

kinisi-0.3.3

20 Feb 10:23
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  • Improve stability of covariance matrix
  • Remove the rtol parameter from the bootstrap method.

kinisi-0.3.2

16 Feb 13:10
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  • Reverted to using likelihood sampling, which with the fixes to the covariance matrix gives the same results as the bootstrap approach.

kinisi-0.3.1

11 Feb 11:31
8b1d095
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  • SciPy 1.7.0 is now required on installation

kinisi-0.3.0

26 Jan 08:57
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  • The variance is now determined from using generalised least squares on a number of random samples from the Gaussian process, this has the benefit of being more accurate and efficient.
  • As a result of the above there is no longer a "Sampling Likelihood" tqdm bar.
  • There is now a rtol kwarg for the bootstap_GLS method, this controls the rtol in the call to the scipy.linalg.pinvh that is used to stabilise the large matrices.
  • All documentation has been adapted to reflect this methodological change.

kinisi-0.2.2

14 Jan 08:08
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  • Add the ability to use multiple identical simulations from an MDAnalysis.Universe class object.