evaluate_individual_prediction {pharmr} | R Documentation |
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)
[Package pharmr version 1.0.1 Index]