define_data_columns

list for mapping simulation data columns, e.g. `list(dv = "DV", id = "ID", idv = "TIME", pred="PRED")`

sim_cols

list for mapping observation data columns, e.g. `list(dv = "DV", id = "ID", idv = "TIME", pred="PRED")`

obs_cols

software type, one of `nonmem`, `phoenix`, `PKPDsim`

software_type

Define data column defaults for various softwares

Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.

define_data_columns: Define data column defaults for various softwares

Description

Usage

Arguments