Most function return a tuple. For easier access, there are named tuple, i.e. tuples that can be accessed by name.
Note
This is a class created with pyqt_fit.utils.namedtuple().
Fitted function (i.e. result of the fitted function)
Description of the function being fitted
Name of the parameters fitted
Explaining variables used for fitting
Dependent variables observed during experiment
Name of the explaining variables
Name of the dependent variabled
Name of the residuals
Function used to compute the residuals
Optimal parameters
Residuals computed with the parameters popt
Evaluation of the optimized function on the observed points
Points on which the function has been interpolated (may be equal to xdata)
Interpolated function on eval_points (may be equal to yopt)
Evaluated function for each data points, sorted in increasing residual order
Scaled residuals, ordered by increasing residuals
Expected values for the residuals, based on their quantile
List of confidence intervals evaluated (in percent)
List of arrays giving the confidence intervals for the dependent variables and for the parameters.
Object returned by the confidence interval method
Note
This is a class created with pyqt_fit.utils.namedtuple().
Scaled residuals, sorted
Sorting indices for the residuals
Quantiles of the scaled residuals
Expected values of the quantiles for a normal distribution
Note
This is a class created with pyqt_fit.utils.namedtuple().
Handle to the figure
Handles created by plot_residuals()
Handles created by scaled_location_plot()
Handles created by plot_dist_residuals()
Note
This is a class create with pyqt_fit.utils.namedtuple(). Also, it contains all the first of ResTestResult at the end of the tuple.
Handle to the figure with the data and fitted curve
Handle to the fitted curve
Handle to the data
Handles to the confidence interval curves