| truncate_sim | R Documentation |
Left-truncates simulation epidemiological summary statistics and network statistics at a specified time step.
truncate_sim(x, at, reset.time)
## S3 method for class 'dcm'
truncate_sim(x, at, reset.time = TRUE)
## S3 method for class 'icm'
truncate_sim(x, at, reset.time = TRUE)
## S3 method for class 'netsim'
truncate_sim(x, at, reset.time = TRUE)
x |
Object of class |
at |
Time step at which to left-truncate the time series. |
reset.time |
If |
This function would be used when running a follow-up simulation from time
steps b to c after a burn-in period from time a to
b, where the final time window of interest for data analysis is
b to c only.
For icm and netsim objects, at is a time step as labeled by
as.data.frame.icm(). With reset.time = FALSE, the time step of the first
row kept is stored in control$epi.start, from which as.data.frame.icm(),
the plot and summary methods, and comp_plot() label the time steps.
Without it, the rows are labeled from 1, as in the output of icm() and
netsim(), including restarted simulations.
For netsim objects, the network statistics are truncated along with the
epi trackers, as both hold one row per time step. With reset.time = TRUE,
the times of the attribute history, the raw records, the transmission
matrix, and the cumulative edgelist are shifted to the new time steps as
well, so that get_attr_at(), get_transmat() and make_networkDynamic()
read them in the same frame. Their records before at are kept, with times
of 0 or less, as the state of the nodes and edges at at depends on them
and the transmissions before at remain part of the transmission chains.
The saved networks and the run sublists, which hold the state needed to
restart a simulation, keep their original time steps. Build a restart point
with make_restart_point() from the object before truncating it.
The updated object of class dcm, netsim, or icm.
# DCM examples
param <- param.dcm(inf.prob = 0.2, act.rate = 0.25)
init <- init.dcm(s.num = 500, i.num = 1)
control <- control.dcm(type = "SI", nsteps = 200)
mod1 <- dcm(param, init, control)
plot(mod1)
# Reset time
mod2a <- truncate_sim(mod1, at = 150)
plot(mod2a)
head(as.data.frame(mod2a))
# Do not reset time
mod2b <- truncate_sim(mod1, at = 150, reset.time = FALSE)
plot(mod2b)
head(as.data.frame(mod2b))
# ICM example
param <- param.icm(inf.prob = 0.2, act.rate = 0.25)
init <- init.icm(s.num = 500, i.num = 1)
control <- control.icm(type = "SI", nsteps = 200, nsims = 1)
mod1 <- icm(param, init, control)
# Reset time
mod2a <- truncate_sim(mod1, at = 150)
plot(mod2a)
head(as.data.frame(mod2a))
# Do not reset time
mod2b <- truncate_sim(mod1, at = 150, reset.time = FALSE)
plot(mod2b)
head(as.data.frame(mod2b))
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