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Simulation

The sim() function will combine the model, the parameters, and the regimen, and simulate out the ODE system. It will return a data.frame in the long format, i.e. one observation per row, and split by compartment and individual. The command for sim() looks e.g. like this:

dat <- sim(
  ode = model,              # created using new_ode_model()
  parameters = parameters,  # a named list of parameter values
  regimen = regimen         # created using new_regimen
)

Here is a minimal example using real code:

model <- new_ode_model("pk_1cmt_iv")
parameters <- list(CL = 5, V = 50)
regimen <- new_regimen(
  amt = 100,
  n = 3,
  interval = 12,
  type = "infusion",
  t_inf = 2
)

dat1 <- sim(
  ode = model,
  parameters = parameters,
  regimen = regimen
)
head(dat1)

##    id t comp        y obs_type
## 1   1 0    1  0.00000        1
## 23  1 1    1 47.58129        1
## 45  1 2    1 90.63462        1
## 63  1 3    1 82.00960        1
## 65  1 4    1 74.20535        1
## 67  1 5    1 67.14378        1

By default, the observation times will include an observation every 1 hour. However, you can specify a vector of observation times to get only those observations:

dat2 <- sim(
  ode = model,
  parameters = parameters,
  regimen = regimen,
  t_obs = c(0.5, 2, 4, 8, 12, 16, 24)
)
head(dat2)

##    id    t comp        y obs_type
## 1   1  0.5    1 24.38529        1
## 9   1  2.0    1 90.63462        1
## 11  1  4.0    1 74.20535        1
## 13  1  8.0    1 49.74134        1
## 3   1 12.0    1 33.34261        1
## 5   1 16.0    1 96.55558        1

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.