Index

_

__str__() (gvar.GVar method)

A

append() (gvar.dataset.Dataset method) arrayzip() (gvar.dataset.Dataset method)

autocorr() (in module gvar.dataset) avg_data() (in module gvar.dataset)

B

bin_data() (in module gvar.dataset) bootstrap_iter() (in module gvar) (in module gvar.dataset) (lsqfit.nonlinear_fit method)

buf (gvar.BufferDict attribute) BufferDict (class in gvar)

C

check_roundoff() (lsqfit.nonlinear_fit method) chi2 (lsqfit.nonlinear_fit attribute) (lsqfit.wavg attribute) chi2() (in module gvar)

correction (gvar.svd attribute) cov (gvar.GVar attribute) (lsqfit.multifit attribute) (lsqfit.nonlinear_fit attribute)

D

D (gvar.svd attribute) (gvar.SVD attribute) Dataset (class in gvar.dataset) decomp() (gvar.SVD method) delta (gvar.SVD attribute) der (gvar.GVar attribute) deriv() (gvar.GVar method) (in module gvar) dof (gvar.chi2 attribute) (lsqfit.nonlinear_fit attribute) (lsqfit.wavg attribute)

dotder() (gvar.GVar method) dtype (gvar.BufferDict attribute) dump() (gvar.BufferDict method) dump_p() (lsqfit.nonlinear_fit method) dump_pmean() (lsqfit.nonlinear_fit method) dumps() (gvar.BufferDict method)

E

eigen_range (gvar.svd attribute) empbayes_fit() (in module lsqfit) error (lsqfit.multifit attribute) (lsqfit.multiminex attribute)

evalcov() (in module gvar) extend() (gvar.dataset.Dataset method)

F

f (lsqfit.multifit attribute) (lsqfit.multiminex attribute) flat (gvar.BufferDict attribute) flatten() (gvar.BufferDict method) fmt() (gvar.GVar method) (in module gvar)

fmt_errorbudget() (in module gvar) (lsqfit.nonlinear_fit method) fmt_values() (in module gvar) (lsqfit.nonlinear_fit method) format() (lsqfit.nonlinear_fit method)

G

gammaQ() (in module lsqfit) grep() (gvar.dataset.Dataset method) GVar (class in gvar) gvar (module)

gvar() (in module gvar), [1], [2], [3], [4], [5], [6], [7] gvar.dataset (module) gvar_factory() (in module gvar)

I

inv_wgt (gvar.svd attribute)

isscalar() (gvar.BufferDict method)

J

J (lsqfit.multifit attribute)

K

kappa (gvar.SVD attribute)

L

load() (gvar.BufferDict static method) load_parameters() (lsqfit.nonlinear_fit static method) loads() (gvar.BufferDict static method)

logdet (gvar.svd attribute) logGBF (lsqfit.nonlinear_fit attribute) lsqfit (module)

M

mean (gvar.GVar attribute) mean() (in module gvar)

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

N

nit (lsqfit.multifit attribute) (lsqfit.multiminex attribute) nmod (gvar.SVD 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) partialsdev() (gvar.GVar method)

partialvar() (gvar.GVar method) pmean (lsqfit.nonlinear_fit attribute) prior (lsqfit.nonlinear_fit attribute) priorkey() (lsqfit.transform_p static method) psdev (lsqfit.nonlinear_fit attribute)

Q

Q (gvar.chi2 attribute) (lsqfit.nonlinear_fit attribute) (lsqfit.wavg attribute)

R

raniter() (in module gvar) ranseed() (in module gvar)

rebuild() (in module gvar) restore_gvar() (in module gvar)

S

samplesize (gvar.dataset.Dataset attribute) sdev (gvar.GVar attribute) sdev() (in module gvar) shape (gvar.BufferDict attribute) simulated_fit_iter() (lsqfit.nonlinear_fit method) size (gvar.BufferDict attribute)

slice() (gvar.BufferDict method) (gvar.dataset.Dataset method) SVD (class in gvar) svd() (in module gvar) svdcorrection (lsqfit.nonlinear_fit attribute) switch_gvar() (in module gvar)

T

time (lsqfit.nonlinear_fit attribute) (lsqfit.wavg attribute) toarray() (gvar.dataset.Dataset method) transform() (lsqfit.transform_p method)

transform_p (class in lsqfit) transformed_p (lsqfit.nonlinear_fit attribute) trim() (gvar.dataset.Dataset method)

U

uncorrelated() (in module gvar) untransform() (lsqfit.transform_p method)

update() (gvar.BufferDict method)

V

val (gvar.svd attribute) (gvar.SVD attribute) var (gvar.GVar attribute)

var() (in module gvar) vec (gvar.svd attribute) (gvar.SVD attribute)

W

wavg() (in module lsqfit)

X

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

Y

y (lsqfit.nonlinear_fit attribute)