evaluate_individual_prediction: evaluate_individual_prediction

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

evaluate_individual_prediction

Description

Evaluate the numeric individual prediction

The prediction is evaluated at the current model parameter values or optionally at the given parameter values. The evaluation is done for each data record in the model dataset or optionally using the dataset argument. The evaluation 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_individual_prediction(
  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) Individual predictions

See Also

evaluate_population_prediction : Evaluate the population prediction

Examples

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

## End(Not run)

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