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built-in models
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confidence intervals
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Index
A
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B
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C
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D
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E
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F
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G
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I
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J
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L
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M
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N
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O
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P
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Q
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R
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S
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T
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U
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V
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W
A
aborted (in module lmfit.model)
(MinimizerResult attribute)
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
call_kws (in module lmfit.model)
(MinimizerResult attribute)
chisqr (in module lmfit.model)
(MinimizerResult attribute)
ci_out (in module lmfit.model)
ci_report() (in module lmfit)
(ModelResult method)
components (in module lmfit.model)
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)
create_params() (in module lmfit.parameter)
create_uvars() (Parameters method)
D
DampedHarmonicOscillatorModel (class in lmfit.models)
DampedOscillatorModel (class in lmfit.models)
data (in module lmfit.model)
dely (in module lmfit.model)
dely_comps (in module lmfit.model)
dely_predicted (in module lmfit.model)
DoniachModel (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 (in module lmfit.model)
(MinimizerResult attribute)
func (in module lmfit.model)
G
Gaussian2dModel (class in lmfit.models)
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 (in module lmfit.model)
(MinimizerResult attribute)
init_values (in module lmfit.model)
(MinimizerResult attribute)
iter_cb() (ModelResult method)
J
jacfcn() (ModelResult method)
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)
module
lmfit.confidence
lmfit.minimizer
lmfit.model
lmfit.models
lmfit.parameter
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)
Pearson4Model (class in lmfit.models)
Pearson7Model (class in lmfit.models)
plot() (ModelResult method)
plot_fit() (ModelResult method)
plot_residuals() (ModelResult method)
PolynomialModel (class in lmfit.models)
post_fit() (Model method)
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)
rsquared (in module lmfit.model)
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)
SineModel (class in lmfit.models)
SkewedGaussianModel (class in lmfit.models)
SkewedVoigtModel (class in lmfit.models)
SplineModel (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)
summary() (ModelResult method)
T
ThermalDistributionModel (class in lmfit.models)
U
userargs (in module lmfit.model)
userkws (in module lmfit.model)
uvars (in module lmfit.model)
(MinimizerResult attribute)
V
valuesdict() (Parameters method)
var_names (in module lmfit.model)
(MinimizerResult attribute)
VoigtModel (class in lmfit.models)
W
weights (in module lmfit.model)
Navigation
index
[
intro
|
parameters
|
minimize
|
model
|
built-in models
|
confidence intervals
|
bounds
|
constraints
]