pkpd.models.pk_models module¶

PK models

class pkpd.models.pk_models.PKGenericModel[source]¶: Bases: pkpd.models.pk_models.PKModel

class pkpd.models.pk_models.PKModel[source]¶: Bases: pkpd.objects.PKPDModel

class pkpd.models.pk_models.PKPDExponentialModel[source]¶

Bases: pkpd.models.pk_models.PKGenericModel

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

forwardModel(parameters, x=None)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

prepare()[source]¶

printSetup()[source]¶

class pkpd.models.pk_models.PKPDSimpleEVModel(includeTlag=True)[source]¶

Bases: pkpd.models.pk_models.PKModel

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

forwardModel(parameters, x=None)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

prepare()[source]¶

printSetup()[source]¶

class pkpd.models.pk_models.PK_Monocompartment[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

printOtherParameterization()[source]¶

class pkpd.models.pk_models.PK_MonocompartmentClint[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

class pkpd.models.pk_models.PK_MonocompartmentLinkPD[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

H(y)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

class pkpd.models.pk_models.PK_MonocompartmentPD[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

H(y)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

class pkpd.models.pk_models.PK_MonocompartmentUrine[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

class pkpd.models.pk_models.PK_Threecompartments[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

printOtherParameterization()[source]¶

class pkpd.models.pk_models.PK_Twocompartments[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

printOtherParameterization()[source]¶

class pkpd.models.pk_models.PK_TwocompartmentsAutoinduction[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

class pkpd.models.pk_models.PK_TwocompartmentsBoth[source]¶

Bases: pkpd.models.pk_models.PK_Twocompartments

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getResponseDimension()[source]¶

class pkpd.models.pk_models.PK_TwocompartmentsBothPD[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

H(y)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

class pkpd.models.pk_models.PK_TwocompartmentsClint[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

class pkpd.models.pk_models.PK_TwocompartmentsClintCl[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

class pkpd.models.pk_models.PK_TwocompartmentsClintMetabolite[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

class pkpd.models.pk_models.PK_TwocompartmentsUrine[source]¶

Bases: pkpd.objects.PKPDODEModel

F(t, y)[source]¶

G(t, dD)[source]¶

areParametersSignificant(lowerBound, upperBound)[source]¶

Parameters: upperBound (lowerBound and) – a numpy array of parameters
Returns: a list of string with “True”, “False”, “NA”, “Suspicious”

areParametersValid(p)[source]¶

calculateParameterUnits(sample)[source]¶

getDescription()[source]¶

getEquation()[source]¶

getModelEquation()[source]¶

getParameterNames()[source]¶

getResponseDimension()[source]¶

getStateDimension()[source]¶

pkpd.models.pk_models.signifcantMessage1(varName, lower, upper)[source]¶

pkpd.models.pk_models.signifcantMessage2(varName, lower, upper)[source]¶

pkpd.models.pk_models.signifcantMessage3(varName, lower, upper)[source]¶