preconditionFit: Linearly re-parameterize the model to be less sensitive to...
In nlmixrdevelopment/nlmixr: Nonlinear Mixed Effects Models in Population PK/PD
preconditionFit 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 nlmixr fit to be preconditioned
estType
Once the fit has been linearly reparametrized,
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 nlmixr 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
nlmixrdevelopment/nlmixr documentation built on Aug. 22, 2023, 2:16 p.m.
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| preconditionFit | 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 nlmixr fit to be preconditioned |
estType |
Once the fit has been linearly reparametrized, 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 nlmixr 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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