Tagged list of the available nlmixr2 estimation methods
Source:R/nlmixr2EstType.R
nlmixr2AllEstType.RdReturns the built-in (and any attribute-tagged third-party) `est=` methods grouped by their estimation category, as used when an unsupported method is requested.
Examples
nlmixr2AllEstType()
#> est type description
#> 1 fo Linearized First-Order
#> 2 foce Linearized First-Order Conditional Estimation
#> 3 focei Linearized FOCE with Interaction
#> 4 focep Linearized FOCE+ (residual at conditional eta)
#> 5 foi Linearized First-Order with Interaction
#> 6 nlme Linearized Lindstrom-Bates alternating (nlme)
#> 7 agq Integral approximation Adaptive Gaussian Quadrature
#> 8 imp Integral approximation Importance sampling (no MAP search)
#> 9 impmap Integral approximation Importance sampling (MAP)
#> 10 laplace Integral approximation Laplace approximation
#> 11 qrpem Stochastic EM Quasi-Random Parametric EM
#> 12 saem Stochastic EM Stochastic Approximation EM
#> 13 npag Nonparametric NonParametric Adaptive Grid
#> 14 npb Nonparametric Nonparametric Bayes
#> 15 emvi Machine learning Variational EM
#> 16 fbvi Machine learning Full Bayes variational inference
#> 17 vae Machine learning Variational autoencoder NLME
#> 18 bobyqa Optimizer (NLM family) BOBYQA (derivative-free)
#> 19 lbfgsb3c Optimizer (NLM family) L-BFGS-B
#> 20 n1qn1 Optimizer (NLM family) n1qn1 (BFGS)
#> 21 newuoa Optimizer (NLM family) NEWUOA (derivative-free)
#> 22 nlm Optimizer (NLM family) nlm quasi-Newton
#> 23 nlminb Optimizer (NLM family) PORT nlminb
#> 24 nls Optimizer (NLM family) nonlinear least squares
#> 25 optim Optimizer (NLM family) Nelder-Mead / BFGS (optim)
#> 26 uobyqa Optimizer (NLM family) UOBYQA (derivative-free)