mlaplaceControl: Control options for the mlaplace estimation method

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

Control options for the mlaplace estimation method

Description

Mu-referenced-FOCEI-family closed-form-regression ('"lin"') variant of the Laplace method ('nAGQ=1'); see 'foceiControl(muModel=)'.

Usage

mlaplaceControl(sigdig = 3, ..., nAGQ = 1, muModel = c("lin", "irls", "none"))

Arguments

sigdig	Optimization significant digits. One value drives, with a single consistent formula, the inner/outer optimizer convergence tolerance (10^-sigdig), the boundary check tolerance (5*10^(-sigdig+1)), and the ODE solver tolerances: the rtol exponent IS sigdig and atol sits three orders below, so rtol = 10^-sigdig, atol = 10^(-sigdig-3) for every solver (stiff, non-stiff or auto-switching). The sensitivity (atolSens/rtolSens) tolerances match the main solve (the outer gradient and covariance are built from them); the steady-state (ssAtol/ssRtol) tolerances run one order looser. Keying the optimizer to the same 10^-sigdig means it converges to exactly the precision the solve supports. At the default sigdig = 3 this is atol = 1e-6, rtol = 1e-3.
...	Parameters used in the default 'foceiControl()'
nAGQ	Number of Gauss-Hermite adaptive quadrature points. '0' disables AGQ; '1' is equivalent to Laplace. Cost grows quickly with ETAs: once the EBE is found, expect 'nAGQ^neta' (even 'nAGQ') or '(nAGQ^neta)-1' (odd 'nAGQ') additional evaluations per subject.
muModel	Selects the regression variant; for 'mlaplaceControl()' this is always '"lin"' and cannot be changed – use 'ilaplaceControl()' for the IRLS variant.

Value

mlaplaceControl object

Author(s)

Matthew L. Fidler

Examples

mlaplaceControl()

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