| magqControl | R Documentation |
Mu-referenced-FOCEI-family closed-form-regression ('"lin"') variant of adaptive Gauss-Hermite quadrature; see 'foceiControl(muModel=)'.
magqControl(
sigdig = 3,
nAGQ = 2,
...,
interaction = TRUE,
agqLow = -Inf,
agqHi = Inf,
muModel = c("lin", "irls", "none")
)
sigdig |
Optimization significant digits. One value drives, with a single
consistent formula, the inner/outer optimizer convergence tolerance
( |
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. |
... |
Parameters used in the default 'foceiControl()' |
interaction |
boolean, Interaction term for the model, in this case the default is 'TRUE'; For adaptive quadrature, with normal distribution the Hessian is calculated with the foce(i) approximation |
agqLow |
The lower bound for adaptive quadrature log-likelihood. By default this is -Inf; in the original nlmixr's gnlmm it was -700. |
agqHi |
The upper bound for adaptive quadrature log-likelihood. By default this is Inf; in the original nlmixr's gnlmm was 400. |
muModel |
Selects the regression variant; for 'magqControl()' this is always '"lin"' and cannot be changed – use 'iagqControl()' for the IRLS variant. |
magqControl object
Matthew L. Fidler
magqControl()
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