Generic for nlmixr2 estimation methods

Usage

# S3 method for class 'agq'
nlmixr2Est(env, ...)

# S3 method for class 'bobyqa'
nlmixr2Est(env, ...)

# S3 method for class 'emvi'
nlmixr2Est(env, ...)

# S3 method for class 'fbvi'
nlmixr2Est(env, ...)

# S3 method for class 'fo'
nlmixr2Est(env, ...)

# S3 method for class 'foce'
nlmixr2Est(env, ...)

# S3 method for class 'focei'
nlmixr2Est(env, ...)

# S3 method for class 'output'
nlmixr2Est(env, ...)

# S3 method for class 'foceif'
nlmixr2Est(env, ...)

# S3 method for class 'focef'
nlmixr2Est(env, ...)

# S3 method for class 'focepf'
nlmixr2Est(env, ...)

# S3 method for class 'mfoceif'
nlmixr2Est(env, ...)

# S3 method for class 'mfocef'
nlmixr2Est(env, ...)

# S3 method for class 'mfocepf'
nlmixr2Est(env, ...)

# S3 method for class 'ifoceif'
nlmixr2Est(env, ...)

# S3 method for class 'ifocef'
nlmixr2Est(env, ...)

# S3 method for class 'ifocepf'
nlmixr2Est(env, ...)

# S3 method for class 'agqf'
nlmixr2Est(env, ...)

# S3 method for class 'magqf'
nlmixr2Est(env, ...)

# S3 method for class 'iagqf'
nlmixr2Est(env, ...)

# S3 method for class 'focep'
nlmixr2Est(env, ...)

# S3 method for class 'foi'
nlmixr2Est(env, ...)

# S3 method for class 'iagq'
nlmixr2Est(env, ...)

# S3 method for class 'ifoce'
nlmixr2Est(env, ...)

# S3 method for class 'ifocei'
nlmixr2Est(env, ...)

# S3 method for class 'ifocep'
nlmixr2Est(env, ...)

# S3 method for class 'ilaplace'
nlmixr2Est(env, ...)

# S3 method for class 'imp'
nlmixr2Est(env, ...)

# S3 method for class 'impmap'
nlmixr2Est(env, ...)

# S3 method for class 'laplace'
nlmixr2Est(env, ...)

# S3 method for class 'lbfgsb3c'
nlmixr2Est(env, ...)

# S3 method for class 'magq'
nlmixr2Est(env, ...)

# S3 method for class 'mfoce'
nlmixr2Est(env, ...)

# S3 method for class 'mfocei'
nlmixr2Est(env, ...)

# S3 method for class 'mfocep'
nlmixr2Est(env, ...)

# S3 method for class 'mlaplace'
nlmixr2Est(env, ...)

# S3 method for class 'n1qn1'
nlmixr2Est(env, ...)

# S3 method for class 'newuoa'
nlmixr2Est(env, ...)

# S3 method for class 'nlm'
nlmixr2Est(env, ...)

# S3 method for class 'nlme'
nlmixr2Est(env, ...)

# S3 method for class 'nlminb'
nlmixr2Est(env, ...)

nlmixr2Est(env, ...)

# Default S3 method
nlmixr2Est(env, ...)

# S3 method for class 'nls'
nlmixr2Est(env, ...)

# S3 method for class 'npag'
nlmixr2Est(env, ...)

# S3 method for class 'mnpag'
nlmixr2Est(env, ...)

# S3 method for class 'inpag'
nlmixr2Est(env, ...)

# S3 method for class 'npb'
nlmixr2Est(env, ...)

# S3 method for class 'mnpb'
nlmixr2Est(env, ...)

# S3 method for class 'inpb'
nlmixr2Est(env, ...)

# S3 method for class 'optim'
nlmixr2Est(env, ...)

# S3 method for class 'neldermead'
nlmixr2Est(env, ...)

# S3 method for class 'bfgs'
nlmixr2Est(env, ...)

# S3 method for class 'cg'
nlmixr2Est(env, ...)

# S3 method for class 'lbfgsb'
nlmixr2Est(env, ...)

# S3 method for class 'sann'
nlmixr2Est(env, ...)

# S3 method for class 'brent'
nlmixr2Est(env, ...)

# S3 method for class 'posthoc'
nlmixr2Est(env, ...)

# S3 method for class 'qrpem'
nlmixr2Est(env, ...)

# S3 method for class 'rxSolve'
nlmixr2Est(env, ...)

# S3 method for class 'simulate'
nlmixr2Est(env, ...)

# S3 method for class 'simulation'
nlmixr2Est(env, ...)

# S3 method for class 'predict'
nlmixr2Est(env, ...)

# S3 method for class 'saem'
nlmixr2Est(env, ...)

# S3 method for class 'uobyqa'
nlmixr2Est(env, ...)

# S3 method for class 'vae'
nlmixr2Est(env, ...)

Arguments

env

Environment for the nlmixr2 estimation routines.

This needs to have:

- rxode2 ui object in `$ui`

- data to fit in the estimation routine in `$data`

- control for the estimation routine's control options in `$ui`

...

Other arguments provided to `nlmixr2Est()` provided for flexibility but not currently used inside nlmixr

Value

nlmixr2 fit object

Details

This is a S3 generic that allows others to use the nlmixr2 environment to do their own estimation routines

A prior distribution given in the `ini()` block is never silently ignored. Before dispatching, `nlmixr2Est()` refuses any prior the method cannot use, so a method that does not handle priors gets that for free and a model carrying one fails with an explanation instead of being fit to something other than what it says.

A method says what it supports with an attribute on itself:

“` attr(nlmixr2Est.myMethod, "nlmixr2Priors") <- "general" “`

- `"none"`, which is also what an absent attribute means – the method cannot use priors at all - `"theta"` – priors on population parameters only (`dnorm()`, `dcauchy()`, `stdNormal()` and the `multiNormal()` family among thetas); anything referencing an omega element is refused. No FOCEi-family method uses this level – they declare `"general"`. - `"general"` – everything the shared kernel's `"general"` method covers: the above, plus a normal prior directly on an omega element and a textbook inverse-Wishart on an omega block. This is what `est="focei"` and the rest of its family declare. - `"nwpri"` – normal priors and degrees of freedom on an omega block (`invWishart(4)`), evaluated the way a NONMEM NWPRI model works; a normal prior on the omega values themselves is refused - `"tnpri"` – normal priors including directly on omega elements (Monolix's/NONMEM's own-estimation joint-normal assumption); `dcauchy()` and `invWishart()` are refused - `"all"` – the method handles everything, so nothing is checked

Author

Matthew Fidler