preconditionFit {nlmixr2} | R Documentation |
Linearly re-parameterize the model to be less sensitive to rounding errors
Description
Linearly re-parameterize the model to be less sensitive to rounding errors
Usage
preconditionFit(fit, estType = c("full", "posthoc", "none"), ntry = 10L)
Arguments
fit |
A nlmixr2 fit to be preconditioned |
estType |
Once the fit has been linearly reparameterized, should a "full" estimation, "posthoc" estimation or simply a estimation of the covariance matrix "none" before the fit is updated |
ntry |
number of tries before giving up on a pre-conditioned covariance estimate |
Value
A nlmixr2 fit object that was preconditioned to stabilize the variance/covariance calculation
References
Aoki Y, Nordgren R, Hooker AC. Preconditioning of Nonlinear Mixed Effects Models for Stabilisation of Variance-Covariance Matrix Computations. AAPS J. 2016;18(2):505-518. doi:10.1208/s12248-016-9866-5
[Package nlmixr2 version 2.1.2 Index]