biogeme.latent_variables.normalization_refs module¶

class biogeme.latent_variables.normalization_refs.MeasurementIntercept(indicator_name)[source]¶

Bases: ParameterRef

Parameters:: indicator_name (str)

indicator_name: str¶

key()[source]¶

Return type:: tuple

class biogeme.latent_variables.normalization_refs.MeasurementLoading(latent_name, indicator_name)[source]¶

Bases: ParameterRef

Parameters:

latent_name (str)
indicator_name (str)

indicator_name: str¶

key()[source]¶

Return type:: tuple

latent_name: str¶

class biogeme.latent_variables.normalization_refs.MeasurementSigma(indicator_name)[source]¶

Bases: ParameterRef

Parameters:: indicator_name (str)

indicator_name: str¶

key()[source]¶

Return type:: tuple

class biogeme.latent_variables.normalization_refs.ParameterRef[source]¶

Bases: object

Base semantic reference.

Subclasses identify one semantically meaningful model parameter.

key()[source]¶

Return type:: tuple

class biogeme.latent_variables.normalization_refs.StructuralCoefficient(latent_name, variable_name)[source]¶

Bases: ParameterRef

Parameters:

latent_name (str)
variable_name (str)

key()[source]¶

Return type:: tuple

latent_name: str¶

variable_name: str¶

class biogeme.latent_variables.normalization_refs.StructuralIntercept(latent_name)[source]¶

Bases: ParameterRef

Parameters:: latent_name (str)

key()[source]¶

Return type:: tuple

latent_name: str¶

class biogeme.latent_variables.normalization_refs.StructuralSigma(latent_name)[source]¶

Bases: ParameterRef

Parameters:: latent_name (str)

key()[source]¶

Return type:: tuple

latent_name: str¶

class biogeme.latent_variables.normalization_refs.ThresholdDelta(type_name, index)[source]¶

Bases: ParameterRef

Parameters:

type_name (str)
index (int)

index: int¶

key()[source]¶

Return type:: tuple

type_name: str¶

class biogeme.latent_variables.normalization_refs.ThresholdFirst(type_name)[source]¶

Bases: ParameterRef

Parameters:: type_name (str)

key()[source]¶

Return type:: tuple

type_name: str¶