npagCycle_: Run the NPAG adaptive-grid cycle on a set-up inner problem

In nlmixr2est: Nonlinear Mixed Effects Models in Population PK/PD, Estimation Routines

Run the NPAG adaptive-grid cycle on a set-up inner problem

Description

Requires the FOCEi inner problem to be set up (.npInnerSetup). Runs the full Yamada adaptive-grid cycle (Sobol grid -> Psi -> Burke IPM -> condensation -> expansion -> convergence) and returns the discrete mixing distribution. Exposed for testing ahead of the full fit-object wiring.

Usage

npagCycle_(
  lower,
  upper,
  points = 2028L,
  cycles = 100L,
  cores = 1L,
  gammaOptimize = FALSE
)

Arguments

lower, upper	Numeric vectors, the per-eta support-point box.
points	Initial Sobol grid size.
cycles	Maximum cycles.
cores	OpenMP threads.
gammaOptimize	Optimize the residual-error magnitude (gamma) each cycle (only valid for uncensored normal endpoints).

Value

A list with support (support points, eta space; one per row), weights, objf (log-likelihood), gamma, cycles, and converged.

nlmixr2est documentation built on Aug. 5, 2026, 1:11 a.m.