lmfit/lmfit-py: 1.1.0

Version 1.1.0 Release Notes (November 27, 2022) Supported Python Versions: 3.7, 3.8, 3.9, 3.10, 3.11 Minimal requirements: numpy>=1.19, scipy>=1.6, uncertainties>=3.1.4, asteval>=0.9.28 New features: add Pearson4Model (@lellid; PR #800) add SplineModel (PR #804) add R^2 rsquared statistic to fit outputs and reports for Model fits (Issue #803; PR #810) add calculation of dely for model components of composite models (Issue #761; PR #826) Bug fixes/enhancements: make sure variable spercent is always defined in params_html_table functions (reported by @MySlientWind; Issue #768, PR #770) always initialize the variables success and covar the MinimizerResult (reported by Marc W. Pound; PR #771) build package following PEP517/PEP518; use pyproject.toml and setup.cfg; leave setup.py for now (PR #777) components used to create a CompositeModel can now have different independent variables (@Julian-Hochhaus; Discussion #787; PR #788) fixed function definition for StepModel(form='linear'), was not consistent with the other ones (@matpompili; PR #794) fixed height factor for Gaussian2dModel, was not correct (@matpompili; PR #795) for covariances with negative diagonal elements, we set the covariance to None (PR #813) fixed linear mode for RectangleModel (@arunpersaud; Issue #815; PR #816) report correct initial values for parameters with bounds (Issue #820; PR #821) allow recalculation of confidence intervals (@jagerber48; PR #798) include 'residual' in JSON output of ModelResult.dumps (@mac01021; PR #830) supports and is tested against Python 3.11; updated minimum required version of SciPy, NumPy, and asteval (PR #832) Deprecations: remove support for Python 3.6 which reached EOL on 2021-12-23 (PR #790