pharmr (version 1.4.0)

evaluate_individual_prediction: 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
)

Value

(data.frame) Individual predictions

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

See Also

evaluate_population_prediction : Evaluate the population prediction

Examples

if (FALSE) {
model <- load_example_model("pheno_linear")
results <- load_example_modelfit_results("pheno_linear")
etas <- results$individual_estimates
evaluate_individual_prediction(model, etas=etas)
}