v0.14.1

Release v0.14.1 - June 2022

• |fix| Use Scipy's eigh instead of Numpy's to avoid convergence error numpy.linalg.LinAlgError: Eigenvalues did not converge during model uncertainty propagation (#310, #311).
• |fix| Refactored the code to avoid the use of lambda and nested functions. This enables the pickling DeerLab's objects with Python's pickle module without errors (#312).
• |feature| Added two new utility functions store_pickle and read_pickle that implement pickling with the dill package to be more robust against potential lambda functions defined by the users in scripts (#312).
• |fix| Fixed minor bug when printing fit results with many model parameters being frozen. The print command would return an error message (#329).
• |fix| Fixed bug when propagating bootstrapped uncertainty in presence of round-off errors (#325).
• |fix| |enhancement| Multiple minor improvements and corrections in the documentation.