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SpnModels

object SpnModels

Some example SPN models, each of which can be instantiated with either discrete or continous states.

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  1. final def !=(arg0: Any): Boolean
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  2. final def ##: Int
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  3. final def ==(arg0: Any): Boolean
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  4. def ar[S](c: DenseVector[Double] = DenseVector(1.0, 10.0, 0.01, 10.0, 1.0, 1.0, 0.1, 0.01))(implicit arg0: State[S]): Spn[S]

    A simple auto-regulatory network model

    A simple auto-regulatory network model

    returns

    An Spn object, which can be passed into a Step function, for example

  5. final def asInstanceOf[T0]: T0
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  6. def clone(): AnyRef
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    @throws(classOf[java.lang.CloneNotSupportedException]) @native()
  7. final def eq(arg0: AnyRef): Boolean
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  9. def finalize(): Unit
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  10. final def getClass(): Class[_ <: AnyRef]
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  11. def hashCode(): Int
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  12. def id[S](p: DenseVector[Double] = DenseVector(1.0, 0.1))(implicit arg0: State[S]): Spn[S]

    Imigration-death model

    Imigration-death model

    p

    Vector of rates for the 2 reactions (imigration and death)

    returns

    An Spn object, which can be passed into a Step function, for example

  13. final def isInstanceOf[T0]: Boolean
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  14. def lv[S](p: DenseVector[Double] = DenseVector(1.0, 0.005, 0.6))(implicit arg0: State[S]): Spn[S]

    Lotka-Volterra model

    Lotka-Volterra model

    p

    Vector of rates for the 3 reactions (prey reproduction, predator-prey interaction, predator death)

    returns

    An Spn object, which can be passed into a Step function, for example

  15. def lv4[S](p: DenseVector[Double] = DenseVector(1.0, 0.005, 0.005, 0.6))(implicit arg0: State[S]): Spn[S]

    4-parameter Lotka-Volterra model

    4-parameter Lotka-Volterra model

    p

    Vector of rates for the 4 reactions (prey reproduction, prey consumption, predator reproduction, predator death)

    returns

    An Spn object, which can be passed into a Step function, for example

  16. def mm[S](p: DenseVector[Double] = DenseVector(0.00166, 1e-04, 0.1))(implicit arg0: State[S]): Spn[S]

    Michaelis-Menten enzyme kinetics model

    Michaelis-Menten enzyme kinetics model

    p

    Vector of rates for the 3 reactions

    returns

    An Spn object, which can be passed into a Step function, for example

  17. final def ne(arg0: AnyRef): Boolean
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  18. final def notify(): Unit
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  19. final def notifyAll(): Unit
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  20. def seir[S](p: DenseVector[Double] = DenseVector(0.1, 0.2, 0.5))(implicit arg0: State[S]): Spn[S]

    SEIR model

    SEIR model

    p

    Vector of rates for the 3 reactions (S->E, E->I, and I->R)

    returns

    An Spn object, which can be passed into a Step function, for example

  21. def sir[S](p: DenseVector[Double] = DenseVector(0.1, 0.5))(implicit arg0: State[S]): Spn[S]

    SIR model

    SIR model

    p

    Vector of rates for the 2 reactions (S->I and I->R)

    returns

    An Spn object, which can be passed into a Step function, for example

  22. final def synchronized[T0](arg0: => T0): T0
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  23. def toString(): String
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  24. final def wait(): Unit
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  25. final def wait(arg0: Long, arg1: Int): Unit
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  26. final def wait(arg0: Long): Unit
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