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