Releases: mmoskon/CosinorPy
Releases · mmoskon/CosinorPy
v3.1
v3.0
v2.1
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
v1.2
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.
v1.1
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