evaluate_eta_gradient: evaluate_eta_gradient

In pharmpy/pharmr: Interface to the 'Pharmpy' 'Pharmacometrics' Library

evaluate_eta_gradient

Description

Evaluate the numeric eta 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

Usage

evaluate_eta_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

Value

(data.frame) Gradient

See Also

evaluate_epsilon_gradient : Evaluate the epsilon gradient

Examples

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

## End(Not run)

pharmpy/pharmr documentation built on Feb. 15, 2025, 3:22 a.m.