sample_individual_estimates: sample_individual_estimates

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

sample_individual_estimates

Description

Sample individual estimates given their covariance.

Usage

sample_individual_estimates(
  model,
  individual_estimates,
  individual_estimates_covariance,
  parameters = NULL,
  samples_per_id = 100,
  seed = 1234
)

Arguments

model	(Model) Pharmpy model
individual_estimates	(data.frame) Individual estimates to use
individual_estimates_covariance	(data.frame) Uncertainty covariance of the individual estimates
parameters	(array(str) (optional)) A vector of a subset of individual parameters to sample. Default is NULL, which means all.
samples_per_id	(numeric) Number of samples per individual
seed	(numeric) Random number generator or seed

Value

(data.frame) Pool of samples in a DataFrame

See Also

sample_parameters_from_covariance_matrix : Sample parameter vectors using the

uncertainty covariance matrix

sample_parameters_uniformly : Sample parameter vectors using uniform distribution

Examples

## Not run: 
model <- load_example_model("pheno")
results <- load_example_modelfit_results("pheno")
rng <- create_rng(23)
ie <- results$individual_estimates
iec <- results$individual_estimates_covariance
sample_individual_estimates(model, ie, iec, samples_per_id=2, seed=rng)

## End(Not run)

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