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Add population predictions (PRED) to a data.frame

Source: R/df_mrgsim_addpred.R
df_mrgsim_addpred.Rd

df_mrgsim_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).

Usage

df_mrgsim_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(). Accepts bare names or strings. 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.

See also

Other mrgsolve wrappers: df_mrgsim_replicate(), model_mread_load()

Examples

pkmodel <- model_mread_load(model = "pkmodel")
#> Building pkmodel_cpp ... 
#> done.
data <- df_mrgsim_addpred(data = dplyr::filter(data_sad, CMT != 3), model = pkmodel)