Add population predictions (PRED) to a data.frame

df_addpred() is a wrapper function for mrgsolve::mrgsim_df() and mrgsolve::zero_re() that returns a data.frame with the addition of a new variable (PRED).

df_addpred(data, model, output_var = "IPRED", ...)

Arguments

data: Input dataset.
model: mrgsolve model object.
output_var: Name of output from model to be captured as PRED after removing random effects with mrgsolve::zero_re(). Default is "IPRED".
...: Additional arguments passed to mrgsolve::mrgsim_df().

Value

A data.frame with the same number of rows as data and on additional numeric variable PRED.

Examples

model <- model_mread_load(model = "model")
#> Building model_cpp ... 
#> done.
data <- df_addpred(data = data_sad, model = model)