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Endpoint alignment is public scientific metadata. It controls how a small fixed-dimensional trajectory summary is built and how new trajectories are generated; it is not a PK or PD model.

Usage

pmx_endpoint(
  dvid = NULL,
  alignment,
  transform = c("auto", "log", "identity"),
  shape,
  units = NULL,
  grid = NULL,
  cmt = NULL,
  subject_sd = 0.2,
  residual_sd = 0.08,
  censoring = NULL
)

Arguments

dvid

Public DVID value for this endpoint, or NULL when no DVID column is used.

alignment

One of "dose_relative", "study_time", "occasion", or "hybrid".

transform

One of "log", "identity", or "auto". "auto" uses only the public DV bounds: a nonnegative domain uses an offset log scale.

shape

One of "occasion" or "global"; this is a broad public shape expectation, not a fitted structural model.

units

Optional public unit label.

grid

Optional strictly increasing public grid on the declared clock. This is a discretization basis, not a sampling schedule. When omitted, a generic basis is constructed from public bounds and contribution limits; sampling-cell occupancy is then learned from the fitted data.

cmt

Optional public observation compartment value.

subject_sd, residual_sd

Public generation variability multipliers.

censoring

Optional public list with left, right, or a two-value interval. Source-dependent censoring frequencies are separately private.

Value

A pmx_endpoint declaration.