saControl: Options for the SAEM stochastic-approximation covariance in...

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

Options for the SAEM stochastic-approximation covariance in setCov()

Description

Used by setCov(fit, "sa"), which runs a short SAEM at the fit's estimates before the covariance phase.

Usage

saControl(nBurn = 100L, nEm = 100L, nSaCov = 500L, seed = 99L)

Arguments

nBurn, nEm	warm-up iterations that equilibrate the MCMC chains before the covariance phase
nSaCov	iterations in the covariance phase; more gives a less noisy covariance
seed	random seed

Value

saControl object

Author(s)

Matt Fidler

See Also

setCov(), saemControl()

Examples

saControl(nSaCov = 1000)

nlmixr2est documentation built on Sept. 20, 2026, 9:08 a.m.