sample_parameters_uniformly: sample_parameters_uniformly

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

sample_parameters_uniformly

Description

Sample parameter vectors using uniform sampling

Each parameter value will be randomly sampled from a uniform distribution with the bounds being estimate ± estimate * fraction.

Usage

sample_parameters_uniformly(
  model,
  parameter_estimates,
  fraction = 0.1,
  force_posdef_samples = NULL,
  n = 1,
  seed = 1234,
  scale = "normal"
)

Arguments

model	(Model) Pharmpy model
parameter_estimates	(array) Parameter estimates for parameters to use
fraction	(numeric) Fraction of estimate value to use for distribution bounds
force_posdef_samples	(numeric (optional)) Number of samples to reject before forcing variability parameters to give positive definite covariance matrices.
n	(numeric) Number of samples
seed	(numeric) Random number generator or seed
scale	(str) Scale to perform sampling on. Valid options are 'normal' and 'UCP'

Value

(data.frame) samples

See Also

sample_parameters_from_covariance_matrix : Sample parameter vectors using the

uncertainty covariance matrix

sample_individual_estimates : Sample individual estiates given their covariance

Examples

## Not run: 
model <- load_example_model("pheno")
results <- load_example_modelfit_results("pheno")
rng <- create_rng(23)
pe <- results$parameter_estimates
sample_parameters_uniformly(model, pe, n=3, seed=rng)

## End(Not run)

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