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lsqfit 13.1 documentation
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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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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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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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V
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W
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X
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Y
B
bootstrapped_fit_iter() (lsqfit.nonlinear_fit method)
builddata() (lsqfit.MultiFitterModel method)
builddataset() (lsqfit.MultiFitterModel method)
buildprior() (lsqfit.MultiFitterModel method)
C
chained_lsqfit() (lsqfit.MultiFitter method)
check_roundoff() (lsqfit.nonlinear_fit method)
chi2 (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
correction (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
cov (lsqfit.nonlinear_fit attribute)
(lsqfit.scipy_least_squares attribute)
D
datatag (lsqfit.MultiFitterModel attribute)
dchi2() (lsqfit.nonlinear_fit method)
description (lsqfit.scipy_least_squares attribute)
dof (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
E
empbayes_fit() (in module lsqfit)
(lsqfit.MultiFitter method)
error (lsqfit.nonlinear_fit attribute)
(lsqfit.scipy_least_squares attribute)
(lsqfit.scipy_multiminex attribute)
F
f (lsqfit.scipy_least_squares attribute)
(lsqfit.scipy_multiminex attribute)
fitfcn() (lsqfit.MultiFitterModel method)
fitter_results (lsqfit.nonlinear_fit attribute)
flatten_models() (lsqfit.MultiFitter static method)
format() (lsqfit.nonlinear_fit method)
(lsqfit.vegas_fit method)
I
integrator (lsqfit.vegas_fit attribute)
J
J (lsqfit.scipy_least_squares attribute)
L
logBF (lsqfit.vegas_fit attribute)
logGBF (lsqfit.nonlinear_fit attribute)
lsqfit
module
lsqfit() (lsqfit.MultiFitter method)
lsqfit.gammaQ() (in module lsqfit)
lsqfit.gsl_multifit (built-in class)
lsqfit.gsl_multiminex (built-in class)
lsqfit.gsl_v1_multifit (built-in class)
M
module
lsqfit
MultiFitter (class in lsqfit)
MultiFitterModel (class in lsqfit)
N
nblocks (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
ncg (lsqfit.MultiFitterModel attribute)
nit (lsqfit.scipy_least_squares attribute)
(lsqfit.scipy_multiminex attribute)
nonlinear_fit (class in lsqfit)
P
p (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
p0 (lsqfit.nonlinear_fit attribute)
palt (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
pdf() (lsqfit.nonlinear_fit method)
(lsqfit.vegas_fit method)
plot_residuals() (lsqfit.nonlinear_fit method)
(lsqfit.vegas_fit method)
pmean (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
prior (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
process_data() (lsqfit.MultiFitter static method)
process_dataset() (lsqfit.MultiFitter static method)
psdev (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
Q
Q (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
qqplot_residuals() (lsqfit.nonlinear_fit method)
(lsqfit.vegas_fit method)
R
residuals (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
results (lsqfit.scipy_least_squares attribute)
S
scipy_least_squares (class in lsqfit)
scipy_multiminex (class in lsqfit)
set() (lsqfit.MultiFitter method)
(lsqfit.nonlinear_fit static method)
show_plots() (lsqfit.MultiFitter static method)
simulated_data_iter() (lsqfit.nonlinear_fit method)
simulated_fit_iter() (lsqfit.nonlinear_fit method)
stats() (lsqfit.vegas_fit method)
stopping_criterion (lsqfit.nonlinear_fit attribute)
(lsqfit.scipy_least_squares attribute)
svdn (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
T
time (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
tol (lsqfit.nonlinear_fit attribute)
training (lsqfit.vegas_fit attribute)
V
vegas_fit (class in lsqfit)
W
wavg() (in module lsqfit)
X
x (lsqfit.nonlinear_fit attribute)
(lsqfit.scipy_least_squares attribute)
(lsqfit.scipy_multiminex attribute)
(lsqfit.vegas_fit attribute)
Y
y (lsqfit.nonlinear_fit attribute)
(lsqfit.vegas_fit attribute)
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lsqfit 13.1 documentation
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