Decaying-Dimerization Reaction Set (Gillespie, 2001)

set.seed(1)
knitr::opts_chunk$set(fig.width = 8, fig.height = 6)

The Decaying-Dimerization Reaction Set consists of three species and four reaction channels.

      S1 --c1--> 0
 S1 + S1 --c2--> S2
      S2 --c3--> S1 + S1
      S2 --c4--> S3

Load package

library(GillespieSSA)

Define parameters

parms <- c(c1=1.0, c2=0.002, c3=0.5, c4=0.04)
tf <- 10                                       # Final time
simName <- "Decaying-Dimerizing Reaction Set"  # Name

Define initial state vector

x0 <- c(s1=10000, s2=0, s3=0)

Define state-change matrix

nu <- matrix(c(-1, -2, +2,  0,
                0, +1, -1, -1,
                0,  0,  0, +1),
                nrow=3,byrow=TRUE)

Define propensity functions

a  <- c("c1*s1", "c2*s1*s1", "c3*s2", "c4*s2")

Run simulations with the Direct method

set.seed(1)
out <- ssa(
  x0 = x0,
  a = a,
  nu = nu,
  parms = parms,
  tf = tf,
  method = ssa.d(),
  simName = simName,
  verbose = FALSE,
  consoleInterval = 1
) 
ssa.plot(out, show.title = TRUE, show.legend = FALSE)

Run simulations with the Explict tau-leap method

set.seed(1)
out <- ssa(
  x0 = x0,
  a = a,
  nu = nu,
  parms = parms,
  tf = tf,
  method = ssa.etl(tau = 0.003),
  simName = simName,
  verbose = FALSE,
  consoleInterval = 1
) 
ssa.plot(out, show.title = TRUE, show.legend = FALSE)

Run simulations with the Binomial tau-leap method

set.seed(1)
out <- ssa(
  x0 = x0,
  a = a,
  nu = nu,
  parms = parms,
  tf = tf,
  method = ssa.btl(),
  simName = simName,
  verbose = FALSE,
  consoleInterval = 1
) 
ssa.plot(out, show.title = TRUE, show.legend = FALSE)

Run simulations with the Optimized tau-leap method

set.seed(1)
out <- ssa(
  x0 = x0,
  a = a,
  nu = nu,
  parms = parms,
  tf = tf,
  method = ssa.otl(),
  simName = simName,
  verbose = FALSE,
  consoleInterval = 1
) 
ssa.plot(out, show.title = TRUE, show.legend = FALSE)


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GillespieSSA documentation built on July 27, 2019, 1:02 a.m.