Hplc-py

This version adjusts the default parameter bounding for fitting peak amplitudes and widths. It also adds in a new check to make sure the `approximate_peak_width` is reasonable given the sampling frequency of the data. Additionally, type hints are added to the `hplc.quant` module to aid development.

What's Changed
* A new statistic `signal_maximum` is returned when `fit_peaks()` is called. This corresponds to the maximum signal observed in a peak reconstruction.

**Full Changelog**: https://github.com/cremerlab/hplc-py/compare/0.2.5...0.2.6

**Full Changelog**: https://github.com/cremerlab/hplc-py/compare/0.2.4...0.2.5

What's Changed
* Add dependencies to setup.py by florian-huber in https://github.com/cremerlab/hplc-py/pull/13

New Contributors
* florian-huber made their first contribution in https://github.com/cremerlab/hplc-py/pull/13

**Full Changelog**: https://github.com/cremerlab/hplc-py/compare/0.2.3...0.2.4.post1

What's Changed
* Add dependencies to setup.py by florian-huber in https://github.com/cremerlab/hplc-py/pull/13

New Contributors
* florian-huber made their first contribution in https://github.com/cremerlab/hplc-py/pull/13

**Full Changelog**: https://github.com/cremerlab/hplc-py/compare/0.2.3...0.2.4

What's Changed
* Bug fix for: 10 small issue in correct baseline method by gchure in https://github.com/cremerlab/hplc-py/pull/11


**Full Changelog**: https://github.com/cremerlab/hplc-py/compare/v0.2.2...0.2.3