Dummy data frame for nlmixr2 dispatch

Returns a minimal NONMEM-style data frame that satisfies nlmixr2's data argument requirement. The single observation row carries a non-NA placeholder DV (1); the dose row keeps DV = NA. The placeholder is purely for dispatch and output construction and never enters the reported objective – each estimator overwrites fit$env$objective (and OBJF/logLik/AIC/BIC) with its own aggregate -2LL. A non-NA observation is required because nlmixr2's post-fit output construction (nlmixr2CreateOutputFromUi) solves the model over this frame, and rxode2's event-table translation rejects a dataset with no non-NA observation rows ("no rows in event table or input data"), the same reason the multi-endpoint frame below uses a placeholder DV.

Usage

admData(outputs = NULL)

Arguments

outputs

Optional character vector of observed output (endpoint) names for a multi-compartment model with several prediction lines (e.g. c("cp", "cCSF")). One observation row is emitted per endpoint, keyed by name in the DVID column (nlmixr2's endpoint identifier; CMT is NA on those rows), so nlmixr2's data translation recognises every endpoint. These rows carry a non-NA placeholder DV (1) because nlmixr2's multi-endpoint translator rejects an all-NA-DV dataset; the placeholder is purely for dispatch and never enters the reported objective (each estimator overwrites it with its own aggregate -2LL). When NULL (default) the single-endpoint dummy frame is returned unchanged.

Value

A data frame with columns ID, TIME, DV, AMT, EVID, CMT (single-endpoint), plus a DVID endpoint column when outputs is given.

Examples

admData()
#>   ID TIME DV AMT EVID CMT
#> 1  1    0 NA 100  101   1
#> 2  1    1  1   0    0   2
admData(c("cp", "cCSF"))
#>   ID TIME DV AMT EVID CMT DVID
#> 1  1    0 NA 100    1   1 <NA>
#> 2  1    1  1   0    0  NA   cp
#> 3  1    2  1   0    0  NA cCSF