calibrator 0.1.0

methods for calibration of scalar and vector measurement systems
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# Calibrator

Calibrator is a software package for working with measurement models. A measurement model is any system which produces some `Response`, as a result of a `Stimulus`. Typically when using an experimental measurement system it is *calibrated* by measuring a set of `Response` values, for known values of the `Stimulus`. This *calibration data* is then used create a set of calibration functions, able to predict unseen values of the `Stimulus` from new measurements of the `Response`.

The `Calibrator` crate provides methods to:
- Generate calibration functions from known noisy calibration data
- Predict new stimulus or response values, along with estimated uncertainties from new data
- Calculate the effective operating range of a measurement system
- Use a numerical mock of the measurement system to do the above