Cosinorpy

Fixes

Several updates including compatibility with numpy updates

The release as described in the paper Identification and characterisation of variable oscillatory behaviour using CosinorPy.

v2
Updates from the release v1.2 are summarised below.

New + Improved
* Added different resampling techniques to assess the statistics of rhythmicity parameters in multi-component cosinor models
* Added non-linear regression and a generalised cosinor model (cosinor_nonlin.py)
* Added linear detrending

Fixes
* Corrections of rhythmicity parameters assessment in multi-component cosinor models
* Correction of acrophase p-values in cosinor1
* Correction of population-fit confidence interval plots
* Acrophases are projected to the interval [-pi, pi] now
* Plotting is now performed on the whole intervals in which measurements are collected

Updates from the release v1.1 are summarised below.

New + Improved
* Wrapper functions updated to work with an arbitrary arguments of called functions.
* Count models now supported in a combination with differential rhythmicity analysis in `cosinor.py`.
* Peaks and throughs reported in analyses in `cosinor.py`.
* Multi-component cosinor now works with an arbitrary number of components (before it was limited to maximally 4 components).
* Added F-test to comparison of pairs in `cosinor.py`.

Fixes
* Fixes to to work with numpy 1.20.0.
* Documentation updated and corrected.
* Paths now supported on different operating systems.
* Negative-binomial model and dispersion parameter (alpha) assessment fixed.

This release is described in the paper **CosinorPy: A Python Package for Cosinor-based Rhythmometry**.

New + Improved
* Functions to aid the design of experiments added
* R scripts for comparison with cosinor and cosinor2 R packages added
* New examples added
* Files reorganised and supplementary tables that are used in the paper added (the only update from the release v1.0)

Fixes
* Documentation updated and corrected

New + Improved
* Functions to aid the design of experiments added
* R scripts for comparison with cosinor and cosinor2 R packages added
* New examples added

Fixes
* Documentation updated and corrected