campsismod must be installed beforehandrxode2 or mrgsolve)Install the latest official release from CRAN:
install.packages("campsis")
Install the latest development version from GitHub:
# remotes::install_github("campsisverse/campsis")
install.packages("campsis", repos = c('https://campsisverse.r-universe.dev', 'https://cloud.r-project.org'))
Import the campsis package:
library(campsis)
Create your dataset:
ds <- Dataset(50) %>%
add(Bolus(time = 0, amount = 1000, ii = 12, addl = 2)) %>%
add(Observations(times = seq(0, 36, by = 0.5)))
Load your own model or use a built-in model from the library:
model <- model_suite$pk$`2cpt_fo`
Simulate your results with your preferred simulation engine (rxode2 or
mrgsolve):
results <- simulate(model = model, dataset = ds, dest = "mrgsolve", seed = 1)
Plot your results:
shaded_plot(results, "CONC")
