Linearly re-parameterize the model to be less sensitive to rounding errors
Source:R/hardReexports.R
preconditionFit.Rd
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