Kinisi

See [kinisi-0.3.4](https://github.com/bjmorgan/kinisi/releases/tag/0.3.4). This release is to trigger the PyPI distribution release.

Changes
- Improve stability of covariance matrix
- Remove the `rtol` parameter from the `bootstrap` method.

Changes
- Reverted to using likelihood sampling, which with the fixes to the covariance matrix gives the same results as the bootstrap approach.

Changes
- SciPy `1.7.0` is now required on installation

Changes
- 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.

Changes
- Add the ability to use multiple identical simulations from an `MDAnalysis.Universe` class object.