Index

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

B

bootstrap_iter() (lsqfit.nonlinear_fit method)

C

check_roundoff() (lsqfit.nonlinear_fit method)
chi2 (lsqfit.nonlinear_fit attribute)
(lsqfit.wavg attribute)
cov (lsqfit.multifit attribute)
(lsqfit.nonlinear_fit attribute)

D

dof (lsqfit.nonlinear_fit attribute)
(lsqfit.wavg attribute)
dump_p() (lsqfit.nonlinear_fit method)
dump_pmean() (lsqfit.nonlinear_fit method)

E

empbayes_fit() (in module lsqfit)
error (lsqfit.multifit attribute)
(lsqfit.multiminex attribute)

F

f (lsqfit.multifit attribute)
(lsqfit.multiminex attribute)
fit (lsqfit.wavg attribute)
fmt_errorbudget() (lsqfit.nonlinear_fit method)
fmt_values() (lsqfit.nonlinear_fit method)
format() (lsqfit.nonlinear_fit method)

G

gammaQ() (in module lsqfit)

J

J (lsqfit.multifit attribute)

L

load_parameters() (lsqfit.nonlinear_fit static method)
logGBF (lsqfit.nonlinear_fit attribute)
lsqfit (module)

M

multifit (class in lsqfit)
multiminex (class in lsqfit)

N

nblocks (lsqfit.nonlinear_fit attribute)
nit (lsqfit.multifit attribute)
(lsqfit.multiminex attribute)
nonlinear_fit (class in lsqfit)

P

p (lsqfit.nonlinear_fit attribute)
p0 (lsqfit.nonlinear_fit attribute)
palt (lsqfit.nonlinear_fit attribute)
paramkey() (lsqfit.transform_p static method)
pmean (lsqfit.nonlinear_fit attribute)
prior (lsqfit.nonlinear_fit attribute)
priorkey() (lsqfit.transform_p static method)
psdev (lsqfit.nonlinear_fit attribute)

Q

Q (lsqfit.nonlinear_fit attribute)
(lsqfit.wavg attribute)

S

simulated_fit_iter() (lsqfit.nonlinear_fit method)
svdcorrection (lsqfit.nonlinear_fit attribute)
(lsqfit.wavg attribute)
svdn (lsqfit.nonlinear_fit attribute)

T

time (lsqfit.nonlinear_fit attribute)
(lsqfit.wavg attribute)
transform() (lsqfit.transform_p method)
transform_p (class in lsqfit)
transformed_p (lsqfit.nonlinear_fit attribute)

U

untransform() (lsqfit.transform_p method)

W

wavg() (in module lsqfit)

X

x (lsqfit.multifit attribute)
(lsqfit.multiminex attribute)
(lsqfit.nonlinear_fit attribute)

Y

y (lsqfit.nonlinear_fit attribute)