Checking for issues

This function checks a model for existing issues.

check(model)

Arguments

model	Model to check

Value

An issue list (printed to the console by default)

Details

The function accepts a model object and returns a list of issues that can help to identify problems in a model. If no issues are found, a message and an empty list are produced. Issues can either be critical or non-critical, depending on whether a valid model could still be rendered.

The function currently detects the following issues:

• Undefined variables

• Lack of parameters

• Lack of observations

• Lack of distribution/elimination components (pk_model)

• Inconsistent capitalization of variable names

Examples

m <- model() +
    prm_log_normal("emax") +
    prm_log_normal("ed50") +
    obs_additive(eff~emax*dose/(ed50+dose))
check(m)
#> ! 1 critical issue
#>   1. Undefined variable 'dose' in observation

# fix issue
m <- m + input_variable("dose")
check(m)
#> ✓ No issues