R: Control Nonlinear Robust Regression Algorithms

nlrob.control {robustbase} | R Documentation

## Control Nonlinear Robust Regression Algorithms

### Description

Allow the user to specify details for the different nonlinear robust regression algorithms in `nlrob`.

### Usage

    nlrob.control(method,
                  psi = c("bisquare", "lqq", "welsh", "optimal", "hampel", "ggw"),
                  init = c("S", "lts"),
                  optimizer = "JDEoptim", optArgs  = list(),
                  ...)

### Arguments

`method` | `character` string specifying the method
`psi` | string specifying the psi-function which defines the estimator.
`init` | for some methods, currently, `"MM"` only, a string specifying the initial estimator.
`optimizer` | currently only `"JDEoptim"` from package DEoptimR.
`optArgs` | a `list` of optional arguments to the optimizer. Currently, that is `JDEoptim` from package DEoptimR.
`...` |

### Value

a `list` with several named components. The contents depend quite a bit on the `method`.

### See Also

`nlrob`, `nlrob`,

### Examples

    str(nlrob.control("MM"))
    str(nlrob.control("tau"))
    str(nlrob.control("CM"))
    str(nlrob.control("mtl"))

[Package robustbase version 0.92-7 Index]