Generate a synthetic PMX dataset from a fitted model

Draws new subjects from a synpmx_model_estimate() fit. This stage reads no patient data: its arguments are the model and a subject count, so everything about the source that reaches the output has already passed through the fit.

Usage

synpmx_model_generate(fitted_model, n_subjects = NULL, seed = NULL)

Arguments

fitted_model

A pmx_fitted_model from synpmx_model_estimate().

n_subjects

Number of synthetic subjects. Defaults to the source count.

seed

Generation seed.

Value

A data frame in the source's shape, carrying the fitted model as a pmx_fitted_model attribute.

Details

Per subject: an arm is assigned keeping the source arm shares, covariates are drawn from the arm's covariate model, random effects from the between-subject covariance matrix, and the dose schedule from the arm's dosing model. The concentration is then evaluated at the visits drawn from the arm's visit model, against the schedule that was drawn, so a reduced or skipped dose reaches the concentrations rather than appearing only in the dosing records.

See also

synpmx_model_estimate(), synpmx_model(), model_report().