SpnModels
Some example SPN models, each of which can be instantiated with either discrete or continous states.
Attributes
- Graph
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- Supertypes
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class Objecttrait Matchableclass Any
- Self type
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SpnModels.type
Members list
Value members
Concrete methods
A simple auto-regulatory network model
A simple auto-regulatory network model
Value parameters
- p
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Vector of rates for the 8 reactions
Attributes
- Returns
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An
Spnobject, which can be passed into aStepfunction, for example
Imigration-death model
Imigration-death model
Value parameters
- p
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Vector of rates for the 2 reactions (imigration and death)
Attributes
- Returns
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An
Spnobject, which can be passed into aStepfunction, for example
Lotka-Volterra model
Lotka-Volterra model
Value parameters
- p
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Vector of rates for the 3 reactions (prey reproduction, predator-prey interaction, predator death)
Attributes
- Returns
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An
Spnobject, which can be passed into aStepfunction, for example
4-parameter Lotka-Volterra model
4-parameter Lotka-Volterra model
Value parameters
- p
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Vector of rates for the 4 reactions (prey reproduction, prey consumption, predator reproduction, predator death)
Attributes
- Returns
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An
Spnobject, which can be passed into aStepfunction, for example
Michaelis-Menten enzyme kinetics model
Michaelis-Menten enzyme kinetics model
Value parameters
- p
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Vector of rates for the 3 reactions
Attributes
- Returns
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An
Spnobject, which can be passed into aStepfunction, for example
SEIR model
SEIR model
Value parameters
- p
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Vector of rates for the 3 reactions (S->E, E->I, and I->R)
Attributes
- Returns
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An
Spnobject, which can be passed into aStepfunction, for example