Kinisi

Changes

- The scaled variance is now used to estimate the variance of the mean-squared displacement. Bootstrapping can still be used to find the distribution of the MSD with the `bootstrap=True` flag

Changes

- Large improvements to documentation
- Moving to using the `pyproject.toml`
- Changing `'non-overlapping'` to `'multi-origin'`

Changes

- Remove rogue print statement in `Bootstrap` method
- Improvements to documentation

Changes

- Reverting to using all samples but with the minimum number of non-overlapping samples.

Changes

- Fix bug in `n_steps` keyword argument.
- Set default number of steps to `100`, based on the observation that (within reason) there was little dependence of the variance of the diffusion coefficient on the number of steps.
- Enable minimum and maximum `dt` values in the parser.
- Enable the use of logarithmic steps in `dt`.
- Some minor refactoring.
- Improvements to estimation of size of `disp_3d` object.
- Improvements to documentation.

Changes

- Resolves the correctness bug introduces in `0.4.0` where the identification of non-overlapping samples was incorrect.
- Using hand rolled log-likelihood calculation, do to problems with the `scipy.stats.multivariate_normal.pdf()` method arising from changes in https://github.com/scipy/scipy/pull/5288.