evaluate_epsilon_gradient function

evaluate_epsilon_gradient

Evaluate the numeric epsilon gradient

The gradient is evaluated at the current model parameter values or optionally at the given parameter values. The gradient is done for each data record in the model dataset or optionally using the dataset argument. The gradient is done at the current eta values or optionally at the given eta values.

This function currently only support models without ODE systems

evaluate_epsilon_gradient(
  model,
  etas = NULL,
  parameters = NULL,
  dataset = NULL
)

Arguments

• model: (Model) Pharmpy model
• etas: (data.frame (optional)) Optional list of eta values
• parameters: (list(str=numeric) (optional)) Optional list of parameters and values
• dataset: (data.frame (optional)) Optional dataset

Returns

(data.frame) Gradient

Examples

## Not run:

model <- load_example_model("pheno_linear")
results <- load_example_modelfit_results("pheno_linear")
etas <- results$individual_estimates
evaluate_epsilon_gradient(model, etas=etas)
## End(Not run)

See Also

evaluate_eta_gradient : Evaluate the eta gradient