pkpd.models.pd_models module

PD models

class pkpd.models.pd_models.PDGenericModel[source]

Bases: pkpd.models.pd_models.PDModel

class pkpd.models.pd_models.PDGompertz[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDHill[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDLogLinear[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDLogistic1[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDLogistic2[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDLogistic3[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDLogistic4[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDModel[source]

Bases: pkpd.objects.PKPDModel

class pkpd.models.pd_models.PDMorgan[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDOQuigley0[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDOQuigley1[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDOQuigley2[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDPolynomial[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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(p=None)[source]
getModelEquation()[source]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDPolynomial1[source]

Bases: pkpd.models.pd_models.PDPolynomial

class pkpd.models.pd_models.PDPolynomial2[source]

Bases: pkpd.models.pd_models.PDPolynomial

class pkpd.models.pd_models.PDPolynomial3[source]

Bases: pkpd.models.pd_models.PDPolynomial

class pkpd.models.pd_models.PDPolynomial4[source]

Bases: pkpd.models.pd_models.PDPolynomial

class pkpd.models.pd_models.PDPolynomial5[source]

Bases: pkpd.models.pd_models.PDPolynomial

class pkpd.models.pd_models.PDPolynomial6[source]

Bases: pkpd.models.pd_models.PDPolynomial

class pkpd.models.pd_models.PDPolynomial7[source]

Bases: pkpd.models.pd_models.PDPolynomial

class pkpd.models.pd_models.PDPolynomial8[source]

Bases: pkpd.models.pd_models.PDPolynomial

class pkpd.models.pd_models.PDPolynomial9[source]

Bases: pkpd.models.pd_models.PDPolynomial

class pkpd.models.pd_models.PDRichards[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDSaturated[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDSigmoid[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]
class pkpd.models.pd_models.PDWeibull[source]

Bases: pkpd.models.pd_models.PDGenericModel

areParametersSignificant(lowerBound, upperBound)[source]
Parameters:and upperBound (lowerBound) – 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]
getParameterDescriptions()[source]
getParameterNames()[source]
prepare()[source]
printSetup()[source]