\[\DeclareMathOperator{\erf}{erf} \DeclareMathOperator{\argmin}{argmin} \newcommand{\R}{\mathbb{R}} \newcommand{\n}{\boldsymbol{n}}\]

Modules of PyQt-Fit

• Module pyqt_fit.plot_fit
  • Analyses of the residuals
  • Plotting the residuals
  • General plotting
  • Output to a file
  • Return types
• Module pyqt_fit.curve_fitting
• Module pyqt_fit.bootstrap
  • Bootstrap Shuffling Methods
  • Main Boostrap Functions
• Module pyqt_fit.nonparam_regression
• Module pyqt_fit.npr_methods
  • Non-Parametric Regression Methods
  • Provided methods
  • Utility functions and classes
• Module pyqt_fit.kde
  • Kernel Density Estimation Methods
  • Bandwidth Estimation Methods
• Module pyqt_fit.kde_methods
  • References:
  • Univariate KDE estimation methods
    • Estimation methods
    • Classes implementing the estimation methods
• Module pyqt_fit.kernels
  • Helper class
  • Gaussian Kernels
  • Tricube Kernel
  • Epanechnikov Kernel
  • Higher Order Kernels
• Module pyqt_fit.utils