The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

Quickstart

Quickstart

This vignette illustrates the basic use of demovuln.

library(demovuln)

We define a simple two-stage projection matrix. Columns are source stages at time t, and rows are destination stages at time t + 1.

A <- matrix(
  c(0.0, 0.4,
    2.0, 0.7),
  nrow = 2,
  byrow = FALSE
)

A
#>      [,1] [,2]
#> [1,]  0.0  2.0
#> [2,]  0.4  0.7
model <- matrix_population_model(
  A,
  adult_stages = 2,
  juvenile_stages = 1
)

We simulate a perturbation affecting adult survival.

sim <- simulate_dynamics(
  model,
  target = "adult_survival",
  magnitude = 0.25,
  duration = 1,
  period = 3,
  t_max = 50,
  recovery_steps = 10
)

sim$reduction
#> [1] 95.95533
plot(
  sim$baseline_abundance,
  type = "l",
  lwd = 2,
  xlab = "Time step",
  ylab = "Relative population size",
  ylim = range(c(sim$baseline_abundance, sim$abundance))
)

lines(sim$abundance, lwd = 2, lty = 2)

legend(
  "topright",
  legend = c("Baseline", "Perturbed"),
  lty = c(1, 2),
  lwd = 2,
  bty = "n"
)

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.
Health stats visible at Monitor.