VPC#

Create a visual predicitive check plot.

Running#

The VPC tool is available both in Pharmpy/pharmr and from the command line.

from pharmpy.modeling import read_model
from pharmpy.tools import read_modelfit_results, run_vpc

model = read_model('path/to/model')
model_results = read_modelfit_results('path/to/model')
res = run_vpc(model=model, results=model_results, samples=300)

model <- read_model('path/to/model')
model_results <- read_modelfit_results('path/to/model')
res <- run_vpc(model=model, results=model_results, samples=300)

Example of running VPC from the command line:

pharmpy run vpc run1.mod --samples=300

Arguments#

Mandatory#

Argument	Description
`model`	Start model
`results`	ModelfitResults for the start model
`samples`	Number of simulation samples. Minimum 20
`stratify`	Name of column to stratify on.

The VPC results#

The results object contains the VPC plot.