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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
<- c(c1=1.0, c2=0.002, c3=0.5, c4=0.04)
parms <- 10 # Final time
tf <- "Decaying-Dimerizing Reaction Set" # Name simName
Define initial state vector
<- c(s1=10000, s2=0, s3=0) x0
Define state-change matrix
<- matrix(c(-1, -2, +2, 0,
nu 0, +1, -1, -1,
0, 0, 0, +1),
nrow=3,byrow=TRUE)
Define propensity functions
<- c("c1*s1", "c2*s1*s1", "c3*s2", "c4*s2") a
Run simulations with the Direct method
set.seed(1)
<- ssa(
out 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)
<- ssa(
out 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)
<- ssa(
out 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)
<- ssa(
out 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)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.