LmfitSolve

class LmfitSolve(pcov=None, nfev=None, **kwargs)

Solving the model using the LmFit [Newville et al., 2019].

This is basically a wrapper around the scipy solvers, adding some cool functionality for boundary conditions.

Notes

lmfit/lmfit-py

Parameters

• pcov (Optional[DataFrame]) –

• nfev (Optional[int]) –

Methods

__init__
ci_block_response	Method to calculate the confidence interval for the block response.
ci_contribution	Method to calculate the confidence interval for the contribution.
ci_simulation	Method to calculate the confidence interval for the simulation.
ci_step_response	Method to calculate the confidence interval for the step response.
get_parameter_sample	Method to obtain a parameter sets for monte carlo analyses.
misfit	This method is called by all solvers to obtain a series that are minimized in the optimization process.
objfunction
prediction_interval	Method to calculate the prediction interval for the simulation.
set_model	Method to set the Pastas Model instance.
solve
to_dict