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if (campsis::on_cran()) { cat( "This vignette was not built on CRAN. Please check out the online version [here](https://calvagone.github.io/campsis.doc/articles/v08_initial_conditions.html)." ) knitr::knit_exit() }
library(campsis)
This vignette shows how initial conditions may be used in Campsis.
Assume the following 2-compartment model is used.
model <- model_suite$nonmem$advan3_trans4
We'd like to init the central compartment to a predefined value, e.g. 1000.
This can be achieved as follows.
model <- model %>% add(InitialCondition(compartment = 1, rhs = "1000"))
The resulting model has now a new block [INIT] which describes the initial condition:
model
Let's now create a dataset with observations-only.
ds <- Dataset(50) %>% add(Observations(times = seq(0, 72, by = 0.5)))
We can now simulate this model:
results <- simulate(model = model, dataset = ds, seed = 1) shaded_plot(results, "CONC")
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