sample_individual_estimates function

sample_individual_estimates

Sample individual estimates given their covariance.

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

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 (optional)) Random number generator or seed

Returns

(data.frame) Pool of samples in a DataFrame

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)

See Also

sample_parameters_from_covariance_matrix : Sample parameter vectors using the

uncertainty covariance matrix

sample_parameters_uniformly : Sample parameter vectors using uniform distribution