Index

A

add() (Parameters method) add_many() (Parameters method)

aic (in module lmfit.model) (MinimizerResult attribute) ampgo() (Minimizer method)

B

basinhopping() (Minimizer method) best_fit (in module lmfit.model) best_values (in module lmfit.model)

bic (in module lmfit.model) (MinimizerResult attribute) BreitWignerModel (class in lmfit.models) brute() (Minimizer method)

C

chisqr (in module lmfit.model) (MinimizerResult attribute) ci_out (in module lmfit.model) ci_report() (in module lmfit) (ModelResult method) Composite models CompositeModel (class in lmfit.model)

conf_interval() (in module lmfit) (ModelResult method) conf_interval2d() (in module lmfit) ConstantModel (class in lmfit.models) correl (Parameter attribute) covar (in module lmfit.model) (MinimizerResult attribute)

D

DampedHarmonicOscillatorModel (class in lmfit.models) DampedOscillatorModel (class in lmfit.models) data (in module lmfit.model)

DonaichModel (class in lmfit.models) dual_annealing() (Minimizer method) dump() (Parameters method) dumps() (Parameters method)

E

emcee() (Minimizer method) errorbars (in module lmfit.model) (MinimizerResult attribute) eval() (Model method) (ModelResult method) (Parameters method)

eval_components() (ModelResult method) eval_uncertainty() (ModelResult method) ExponentialGaussianModel (class in lmfit.models) ExponentialModel (class in lmfit.models) ExpressionModel (class in lmfit.models)

F

fit() (Model method) (ModelResult method) fit_report() (in module lmfit.printfuncs) (ModelResult method)

flatchain (MinimizerResult attribute) func (in module lmfit.model)

G

GaussianModel (class in lmfit.models)

guess() (Model method)

I

ier (in module lmfit.model) (MinimizerResult attribute) independent_vars (in module lmfit.model) init_fit (in module lmfit.model)

init_params (in module lmfit.model) init_vals (MinimizerResult attribute) init_values (in module lmfit.model) (MinimizerResult attribute) iter_cb (in module lmfit.model)

J

jacfcn (in module lmfit.model)

L

least_squares() (Minimizer method) leastsq() (Minimizer method) LinearModel (class in lmfit.models) lmdif_message (in module lmfit.model) (MinimizerResult attribute) lmfit.confidence (module) lmfit.minimizer (module) lmfit.model (module)

lmfit.models (module) lmfit.parameter (module) load() (Parameters method) load_model() (in module lmfit.model) load_modelresult() (in module lmfit.model) loads() (Parameters method) LognormalModel (class in lmfit.models) LorentzianModel (class in lmfit.models)

M

make_params() (Model method) message (in module lmfit.model) (MinimizerResult attribute) method (in module lmfit.model) minimize() (in module lmfit.minimizer) (Minimizer method)

Minimizer (class in lmfit.minimizer) MinimizerResult (class in lmfit.minimizer) Model (class in lmfit.model) model (in module lmfit.model) ModelResult (class in lmfit.model) MoffatModel (class in lmfit.models)

N

name (in module lmfit.model) nan_policy (in module lmfit.model) ndata (in module lmfit.model) (MinimizerResult attribute) nfev (in module lmfit.model) (MinimizerResult attribute)

nfree (in module lmfit.model) (MinimizerResult attribute) nvarys (in module lmfit.model) (MinimizerResult attribute)

O

opts (in module lmfit.model)

P

param_hints (in module lmfit.model) param_names (in module lmfit.model) Parameter (class in lmfit.parameter) Parameters (class in lmfit.parameter) params (in module lmfit.model) (MinimizerResult attribute) Pearson7Model (class in lmfit.models) plot() (ModelResult method)

plot_fit() (ModelResult method) plot_residuals() (ModelResult method) PolynomialModel (class in lmfit.models) PowerLawModel (class in lmfit.models) prefix (in module lmfit.model) prepare_fit() (Minimizer method) pretty_print() (Parameters method) print_param_hints() (Model method) PseudoVoigtModel (class in lmfit.models)

Q

QuadraticModel (class in lmfit.models)

R

RectangleModel (class in lmfit.models) redchi (in module lmfit.model) (MinimizerResult attribute)

Removing a Constraint Expression residual (in module lmfit.model) (MinimizerResult attribute)

S

save_model() (in module lmfit.model) save_modelresult() (in module lmfit.model) scalar_minimize() (Minimizer method) scale_covar (in module lmfit.model) set() (Parameter method) set_param_hint() (Model method) shgo() (Minimizer method) show_candidates() (MinimizerResult method)

SkewedGaussianModel (class in lmfit.models) SkewedVoigtModel (class in lmfit.models) SplitLorentzianModel (class in lmfit.models) status (MinimizerResult attribute) stderr (Parameter attribute) StepModel (class in lmfit.models) StudentsTModel (class in lmfit.models) success (in module lmfit.model) (MinimizerResult attribute)

V

valuesdict() (Parameters method)

var_names (MinimizerResult attribute) VoigtModel (class in lmfit.models)

W

weights (in module lmfit.model)