calibr8
latest
Contents
1. Terminology
2. How to estimate calibration model parameters
3. Applying calibration models: Useful features
Examples
The Exponential Model
The Generalized Logistic Function
Fitting a Linear Model
Numeric posterior of the independent variable
In-depth Model Fitting
Counting cells with a Poisson noise model
Bayesian hierarchical calibration models
API Reference
Inheritance and composition of
calibr8
models
calibr8.core
calibr8.contrib.normal
calibr8.contrib.studentt
calibr8.optimization
calibr8.utils
calibr8
Index
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Index
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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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H
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I
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L
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M
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O
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P
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T
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X
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Y
A
assert_version_match() (in module calibr8.utils)
asymmetric_logistic() (in module calibr8.core)
B
BaseAsymmetricLogisticN (class in calibr8.contrib.normal)
BaseAsymmetricLogisticT (class in calibr8.contrib.studentt)
BaseExponentialModelN (class in calibr8.contrib.normal)
BaseExponentialModelT (class in calibr8.contrib.studentt)
BaseLogIndependentAsymmetricLogisticN (class in calibr8.contrib.normal)
BaseLogIndependentAsymmetricLogisticT (class in calibr8.contrib.studentt)
BaseModelT (class in calibr8.contrib.studentt)
BasePolynomialModelN (class in calibr8.contrib.normal)
BasePolynomialModelT (class in calibr8.contrib.studentt)
BuildMismatchException
C
calibr8.contrib.normal
module
calibr8.contrib.studentt
module
calibr8.core
module
calibr8.optimization
module
calibr8.utils
module
CalibrationModel (class in calibr8.core)
check_scale_degree() (in module calibr8.utils)
CompatibilityException
ContinuousInference (class in calibr8.core)
ContinuousMultivariateInference (class in calibr8.core)
ContinuousMultivariateModel (class in calibr8.core)
ContinuousUnivariateInference (class in calibr8.core)
ContinuousUnivariateModel (class in calibr8.core)
D
DistributionMixin (class in calibr8.core)
E
eti_lower (calibr8.core.ContinuousInference property)
eti_pdf (calibr8.core.ContinuousInference property)
eti_prob (calibr8.core.ContinuousInference property)
eti_upper (calibr8.core.ContinuousInference property)
eti_width (calibr8.core.ContinuousInference property)
eti_x (calibr8.core.ContinuousInference property)
exponential() (in module calibr8.core)
F
fit_scipy() (in module calibr8.optimization)
fit_scipy_global() (in module calibr8.optimization)
format_datetime() (in module calibr8.utils)
H
hdi_lower (calibr8.core.ContinuousInference property)
hdi_pdf (calibr8.core.ContinuousInference property)
hdi_prob (calibr8.core.ContinuousInference property)
hdi_upper (calibr8.core.ContinuousInference property)
hdi_width (calibr8.core.ContinuousInference property)
hdi_x (calibr8.core.ContinuousInference property)
I
ImportWarner (class in calibr8.utils)
infer_independent() (calibr8.core.CalibrationModel method)
(calibr8.core.ContinuousMultivariateModel method)
(calibr8.core.ContinuousUnivariateModel method)
(in module calibr8.core)
InferenceResult (class in calibr8.core)
inverse_asymmetric_logistic() (in module calibr8.core)
inverse_exponential() (in module calibr8.core)
inverse_log_log_logistic() (in module calibr8.core)
inverse_logistic() (in module calibr8.core)
inverse_xlog_asymmetric_logistic() (in module calibr8.core)
inverse_xlog_logistic() (in module calibr8.core)
inverse_ylog_logistic() (in module calibr8.core)
istensor() (in module calibr8.utils)
L
likelihood() (calibr8.core.CalibrationModel method)
load() (calibr8.core.CalibrationModel class method)
log_log_logistic() (in module calibr8.core)
logistic() (in module calibr8.core)
loglikelihood() (calibr8.core.CalibrationModel method)
M
MajorMismatchException
median (calibr8.core.ContinuousUnivariateInference property)
MinorMismatchException
module
calibr8.contrib.normal
calibr8.contrib.studentt
calibr8.core
calibr8.optimization
calibr8.utils
O
objective() (calibr8.core.CalibrationModel method)
P
parse_datetime() (in module calibr8.utils)
PatchMismatchException
plot_continuous_band() (in module calibr8.utils)
plot_model() (in module calibr8.utils)
plot_norm_band() (in module calibr8.utils)
plot_t_band() (in module calibr8.utils)
polynomial() (in module calibr8.core)
predict_dependent() (calibr8.contrib.normal.BaseAsymmetricLogisticN method)
(calibr8.contrib.normal.BaseExponentialModelN method)
(calibr8.contrib.normal.BaseLogIndependentAsymmetricLogisticN method)
(calibr8.contrib.normal.BasePolynomialModelN method)
(calibr8.contrib.studentt.BaseAsymmetricLogisticT method)
(calibr8.contrib.studentt.BaseExponentialModelT method)
(calibr8.contrib.studentt.BaseLogIndependentAsymmetricLogisticT method)
(calibr8.contrib.studentt.BasePolynomialModelT method)
(calibr8.core.CalibrationModel method)
predict_independent() (calibr8.contrib.normal.BaseAsymmetricLogisticN method)
(calibr8.contrib.normal.BaseExponentialModelN method)
(calibr8.contrib.normal.BaseLogIndependentAsymmetricLogisticN method)
(calibr8.contrib.normal.BasePolynomialModelN method)
(calibr8.contrib.studentt.BaseAsymmetricLogisticT method)
(calibr8.contrib.studentt.BaseExponentialModelT method)
(calibr8.contrib.studentt.BaseLogIndependentAsymmetricLogisticT method)
(calibr8.contrib.studentt.BasePolynomialModelT method)
(calibr8.core.CalibrationModel method)
pymc_dist (calibr8.core.DistributionMixin attribute)
S
save() (calibr8.core.CalibrationModel method)
scipy_dist (calibr8.core.DistributionMixin attribute)
T
theta_fitted (calibr8.core.CalibrationModel property)
theta_guess (calibr8.core.CalibrationModel property)
theta_names (calibr8.core.CalibrationModel property)
theta_timestamp (calibr8.core.CalibrationModel property)
to_pymc() (calibr8.core.DistributionMixin method)
to_scipy() (calibr8.core.DistributionMixin method)
X
xlog_asymmetric_logistic() (in module calibr8.core)
xlog_logistic() (in module calibr8.core)
Y
ylog_logistic() (in module calibr8.core)
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