Index

_ | A | B | C | D | E | F | G | J | L | M | N | P | Q | R | S | T | W | X | Y

_

__call__() (lsqfit.BayesIntegrator method)
(lsqfit.BayesPDF method)

A

add_parameter_distribution() (in module gvar)
add_parameter_parentheses() (in module gvar)

B

BayesIntegrator (class in lsqfit)
BayesPDF (class in lsqfit)
bootstrap_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)
cov (gsl_multifit attribute)
(gsl_v1_multifit attribute)
(lsqfit.nonlinear_fit attribute)
(scipy_least_squares attribute)

D

datatag (lsqfit.MultiFitterModel attribute)
del_parameter_distribution() (in module gvar)
description (gsl_multifit attribute)
(scipy_least_squares attribute)
dof (lsqfit.nonlinear_fit attribute)
dump_p() (lsqfit.nonlinear_fit method)
dump_pmean() (lsqfit.nonlinear_fit method)

E

empbayes_fit() (in module lsqfit)
error (gsl_multifit attribute)
(gsl_multiminex attribute)
(gsl_v1_multifit attribute)
(lsqfit.nonlinear_fit attribute)
(scipy_least_squares attribute)
(scipy_multiminex attribute)

F

f (gsl_multifit attribute)
(gsl_multiminex attribute)
(gsl_v1_multifit attribute)
(scipy_least_squares attribute)
(scipy_multiminex attribute)
fitfcn() (lsqfit.MultiFitterModel method)
fitter_results (lsqfit.nonlinear_fit attribute)
fmt_errorbudget() (lsqfit.nonlinear_fit method)
fmt_values() (lsqfit.nonlinear_fit method)
format() (lsqfit.nonlinear_fit method)

G

gammaQ() (in module lsqfit)
get_prior_keys() (lsqfit.MultiFitterModel static method)
gsl_multifit (class in lsqfit)
gsl_multiminex (class in lsqfit)
gsl_v1_multifit (class in lsqfit)

J

J (gsl_multifit attribute)
(gsl_v1_multifit attribute)
(scipy_least_squares attribute)

L

load_parameters() (lsqfit.nonlinear_fit static method)
logGBF (lsqfit.nonlinear_fit attribute)
logpdf() (lsqfit.BayesPDF method)
lsqfit (module)
lsqfit() (lsqfit.MultiFitter method)

M

MultiFitter (class in lsqfit)
MultiFitterModel (class in lsqfit)

N

nblocks (lsqfit.nonlinear_fit attribute)
ncg (lsqfit.MultiFitterModel attribute)
nit (gsl_multifit attribute)
(gsl_multiminex attribute)
(gsl_v1_multifit attribute)
(scipy_least_squares attribute)
(scipy_multiminex attribute)
nonlinear_fit (class in lsqfit)

P

p (lsqfit.nonlinear_fit attribute)
p0 (lsqfit.nonlinear_fit attribute)
palt (lsqfit.nonlinear_fit attribute)
pmean (lsqfit.nonlinear_fit attribute)
prior (lsqfit.nonlinear_fit attribute)
prior_key() (lsqfit.MultiFitterModel static method)
process_data() (lsqfit.MultiFitter static method)
process_dataset() (lsqfit.MultiFitter static method)
psdev (lsqfit.nonlinear_fit attribute)

Q

Q (lsqfit.nonlinear_fit attribute)

R

results (scipy_least_squares attribute)

S

scipy_least_squares (class in lsqfit)
scipy_multiminex (class in lsqfit)
set() (lsqfit.nonlinear_fit static method)
show_plots() (lsqfit.MultiFitter static method)
simulated_fit_iter() (lsqfit.nonlinear_fit method)
stopping_criterion (gsl_multifit attribute)
(gsl_v1_multifit attribute)
(lsqfit.nonlinear_fit attribute)
(scipy_least_squares attribute)
svdcorrection (lsqfit.nonlinear_fit attribute)
svdn (lsqfit.nonlinear_fit attribute)

T

time (lsqfit.nonlinear_fit attribute)
tol (lsqfit.nonlinear_fit attribute)

W

wavg() (in module lsqfit)

X

x (gsl_multifit attribute)
(gsl_multiminex attribute)
(gsl_v1_multifit attribute)
(lsqfit.nonlinear_fit attribute)
(scipy_least_squares attribute)
(scipy_multiminex attribute)

Y

y (lsqfit.nonlinear_fit attribute)