calculate_pk_parameters_statistics: calculate_pk_parameters_statistics

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

calculate_pk_parameters_statistics

Description

Calculate statistics for common pharmacokinetic parameters

Calculate the mean (expected value of the distribution), variance (variance of the distribution) and standard error for some individual pre-defined pharmacokinetic parameters.

Usage

calculate_pk_parameters_statistics(
  model,
  parameter_estimates,
  covariance_matrix = NULL,
  seed = 1234
)

Arguments

model	(Model) A previously estimated model
parameter_estimates	(array) Parameter estimates
covariance_matrix	(data.frame (optional)) Parameter uncertainty covariance matrix
seed	(numeric) Random number generator or seed

Value

(data.frame) A DataFrame of statistics indexed on parameter and covariate value.

See Also

calculate_individual_parameter_statistics : Calculation of statistics for arbitrary parameters

Examples

## Not run: 
model <- load_example_model("pheno")
results <- load_example_modelfit_results("pheno")
rng <- create_rng(23)
pe <- results$parameter_estimates
cov <- results$covariance_matrix
calculate_pk_parameters_statistics(model, pe, cov, seed=rng)

## End(Not run)

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