Get started with CAMPSIS

Library import

First import the campsis package:

library(campsis)

Load model

Load 2-compartment PK model from built-in model library:

model <- model_suite$pk$`2cpt_fo`

Create dataset

Create your dataset in CAMPSIS. For instance, let’s give 1000mg QD for 3 days and observe every hour.

dataset <- Dataset(10) %>%
  add(Bolus(time=0, amount=1000, ii=24, addl=2)) %>%
  add(Observations(times=seq(0,72, by=1)))

Simulate

Simulate this very simple protocol:

results <- model %>% simulate(dataset, seed=1)
head(results)

## # A tibble: 6 × 20
##      ID  TIME   ARM TVBIO  TVKA  TVVC  TVVP   TVQ  TVCL   BIO    KA    VC    VP
##   <int> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
## 1     1     0     0     1     1    10    40    20     3     1 0.960  14.0  50.2
## 2     1     1     0     1     1    10    40    20     3     1 0.960  14.0  50.2
## 3     1     2     0     1     1    10    40    20     3     1 0.960  14.0  50.2
## 4     1     3     0     1     1    10    40    20     3     1 0.960  14.0  50.2
## 5     1     4     0     1     1    10    40    20     3     1 0.960  14.0  50.2
## 6     1     5     0     1     1    10    40    20     3     1 0.960  14.0  50.2
## # ℹ 7 more variables: Q <dbl>, CL <dbl>, CONC <dbl>, CONC_ERR <dbl>,
## #   A_ABS <dbl>, A_CENTRAL <dbl>, A_PERIPHERAL <dbl>

Plot results

Plot these results:

spaghettiPlot(results, "CONC")

A shaded plot may also be used:

shadedPlot(results, "CONC")

Simulate 2 arms

We can also simulate two different treatment arms. Say the first arm receives 1000mg QD and the second arm 2000mg QD. This can be implemented as follows:

# First treatment arm
arm1 <- Arm(subjects=50, label="1000 mg QD") %>%
  add(Bolus(time=0, amount=1000, ii=24, addl=2)) %>%
  add(Observations(times=seq(0,72, by=1)))

# Second treatment arm
arm2 <- Arm(subjects=50, label="2000 mg QD") %>%
  add(Bolus(time=0, amount=2000, ii=24, addl=2)) %>%
  add(Observations(times=seq(0,72, by=1)))

dataset <- Dataset() %>% add(c(arm1, arm2))

results <- model %>% simulate(dataset, seed=1)
shadedPlot(results, "CONC", colour="ARM")