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
#> 1 fo Linearized
#> 2 foce Linearized
#> 3 focei Linearized
#> 4 focep Linearized
#> 5 foi Linearized
#> 6 nlme Linearized
#> 7 agq Integral approximation
#> 8 imp Integral approximation
#> 9 impmap Integral approximation
#> 10 laplace Integral approximation
#> 11 qrpem Stochastic EM
#> 12 saem Stochastic EM
#> 13 npag Nonparametric
#> 14 npb Nonparametric
#> 15 emvi Machine learning
#> 16 fbvi Machine learning
#> 17 vae Machine learning
#> 18 bobyqa Optimizer (NLM family)
#> 19 lbfgsb3c Optimizer (NLM family)
#> 20 n1qn1 Optimizer (NLM family)
#> 21 newuoa Optimizer (NLM family)
#> 22 nlm Optimizer (NLM family)
#> 23 nlminb Optimizer (NLM family)
#> 24 nls Optimizer (NLM family)
#> 25 optim Optimizer (NLM family)
#> 26 trust Optimizer (NLM family)
#> 27 uobyqa Optimizer (NLM family)
#> description
#> 1 First-Order
#> 2 First-Order Conditional Estimation
#> 3 FOCE with Interaction
#> 4 FOCE+ (residual at conditional eta)
#> 5 First-Order with Interaction
#> 6 Lindstrom-Bates alternating (nlme)
#> 7 Adaptive Gaussian Quadrature
#> 8 Importance sampling (no MAP search)
#> 9 Importance sampling (MAP)
#> 10 Laplace approximation
#> 11 Quasi-Random Parametric EM
#> 12 Stochastic Approximation EM
#> 13 NonParametric Adaptive Grid
#> 14 Nonparametric Bayes
#> 15 Variational EM
#> 16 Full Bayes variational inference
#> 17 Variational autoencoder NLME
#> 18 BOBYQA (derivative-free)
#> 19 L-BFGS-B
#> 20 n1qn1 (BFGS)
#> 21 NEWUOA (derivative-free)
#> 22 nlm quasi-Newton
#> 23 PORT nlminb
#> 24 nonlinear least squares
#> 25 Nelder-Mead / BFGS (optim)
#> 26 Trust-region Newton (C++-resident, RcppTrust)
#> 27 UOBYQA (derivative-free)