hepstats
Contents:
Installation
Quick start
API Reference:
hepstats
hepstats
Docs
»
Index
Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
A
append() (hepstats.hypotests.parameters.POIarray method)
asarray() (in module hepstats.hypotests.parameters)
asimov_dataset() (hepstats.hypotests.calculators.asymptotic_calculator.AsymptoticCalculator method)
asimov_loss() (hepstats.hypotests.calculators.asymptotic_calculator.AsymptoticCalculator method)
asimov_nll() (hepstats.hypotests.calculators.asymptotic_calculator.AsymptoticCalculator method)
AsymptoticCalculator (class in hepstats.hypotests.calculators.asymptotic_calculator)
B
BaseCalculator (class in hepstats.hypotests.calculators.basecalculator)
BaseToysCalculator (class in hepstats.hypotests.calculators.basecalculator)
bayesian_blocks() (in module hepstats.modeling.bayesian_blocks)
bestfit() (hepstats.hypotests.hypotests_object.HypotestsObject property)
,
[1]
C
calc() (hepstats.modeling.bayesian_blocks.Prior method)
check_pois() (hepstats.hypotests.calculators.asymptotic_calculator.AsymptoticCalculator static method)
(hepstats.hypotests.calculators.basecalculator.BaseCalculator static method)
check_pois_compatibility() (hepstats.hypotests.calculators.basecalculator.BaseCalculator static method)
compute_sweights() (in module hepstats.splot.sweights)
ConfidenceInterval (class in hepstats.hypotests.core.confidence_interval)
constraints() (hepstats.hypotests.hypotests_object.HypotestsObject property)
,
[1]
D
data() (hepstats.hypotests.hypotests_object.HypotestsObject property)
,
[1]
Discovery (class in hepstats.hypotests.core.discovery)
E
expected_poi() (hepstats.hypotests.calculators.basecalculator.BaseCalculator method)
expected_pvalue() (hepstats.hypotests.calculators.basecalculator.BaseCalculator method)
F
FrequentistCalculator (class in hepstats.hypotests.calculators.frequentist_calculator)
from_yaml() (hepstats.hypotests.calculators.basecalculator.ToysCalculator class method)
G
generate_asimov_hist() (in module hepstats.hypotests.calculators.asymptotic_calculator)
get_parameter() (hepstats.hypotests.hypotests_object.HypotestsObject method)
,
[1]
get_toys_alt() (hepstats.hypotests.calculators.basecalculator.ToysCalculator method)
get_toys_null() (hepstats.hypotests.calculators.basecalculator.ToysCalculator method)
H
hepstats.hypotests (module)
hepstats.hypotests.calculators (module)
hepstats.hypotests.calculators.asymptotic_calculator (module)
hepstats.hypotests.calculators.basecalculator (module)
hepstats.hypotests.calculators.frequentist_calculator (module)
hepstats.hypotests.core.confidence_interval (module)
hepstats.hypotests.core.discovery (module)
hepstats.hypotests.core.upperlimit (module)
hepstats.hypotests.hypotests_object (module)
,
[1]
hepstats.hypotests.parameters (module)
hepstats.modeling (module)
hepstats.modeling.bayesian_blocks (module)
hepstats.splot (module)
hepstats.splot.sweights (module)
HypotestsObject (class in hepstats.hypotests.hypotests_object)
,
[1]
I
interval() (hepstats.hypotests.core.confidence_interval.ConfidenceInterval method)
is_sum_of_extended_pdfs() (in module hepstats.splot.sweights)
L
loss() (hepstats.hypotests.hypotests_object.HypotestsObject property)
,
[1]
lossbuilder() (hepstats.hypotests.hypotests_object.HypotestsObject method)
,
[1]
M
minimizer() (hepstats.hypotests.hypotests_object.HypotestsObject property)
,
[1]
model() (hepstats.hypotests.hypotests_object.HypotestsObject property)
,
[1]
N
ndim() (hepstats.hypotests.parameters.POIarray property)
ntoysalt() (hepstats.hypotests.calculators.basecalculator.ToysCalculator property)
ntoysnull() (hepstats.hypotests.calculators.basecalculator.ToysCalculator property)
O
obs_nll() (hepstats.hypotests.calculators.basecalculator.BaseCalculator method)
P
palt() (hepstats.hypotests.calculators.asymptotic_calculator.AsymptoticCalculator method)
pnull() (hepstats.hypotests.calculators.asymptotic_calculator.AsymptoticCalculator method)
POI (class in hepstats.hypotests.parameters)
POIarray (class in hepstats.hypotests.parameters)
Prior (class in hepstats.modeling.bayesian_blocks)
pvalue() (hepstats.hypotests.calculators.basecalculator.BaseCalculator method)
pvalues() (hepstats.hypotests.core.confidence_interval.ConfidenceInterval method)
(hepstats.hypotests.core.upperlimit.UpperLimit method)
Q
q() (hepstats.hypotests.calculators.basecalculator.BaseCalculator method)
qalt() (hepstats.hypotests.calculators.asymptotic_calculator.AsymptoticCalculator method)
(hepstats.hypotests.calculators.frequentist_calculator.FrequentistCalculator method)
qnull() (hepstats.hypotests.calculators.frequentist_calculator.FrequentistCalculator method)
qobs() (hepstats.hypotests.calculators.basecalculator.BaseCalculator method)
qtilde() (hepstats.hypotests.core.confidence_interval.ConfidenceInterval property)
(hepstats.hypotests.core.upperlimit.UpperLimit property)
R
result() (hepstats.hypotests.core.discovery.Discovery method)
S
sample() (hepstats.hypotests.hypotests_object.ToysObject method)
,
[1]
sampler() (hepstats.hypotests.hypotests_object.ToysObject method)
,
[1]
set_params_to_bestfit() (hepstats.hypotests.hypotests_object.HypotestsObject method)
,
[1]
shape() (hepstats.hypotests.parameters.POIarray property)
T
toys_loss() (hepstats.hypotests.hypotests_object.ToysObject method)
,
[1]
ToysCalculator (class in hepstats.hypotests.calculators.basecalculator)
ToysObject (class in hepstats.hypotests.hypotests_object)
,
[1]
U
UpperLimit (class in hepstats.hypotests.core.upperlimit)
upperlimit() (hepstats.hypotests.core.upperlimit.UpperLimit method)
V
value() (hepstats.hypotests.parameters.POI property)
values() (hepstats.hypotests.parameters.POIarray property)