R: Summarizing Robust Fits of Nonlinear Regression Models

summary.nlrob {robustbase} | R Documentation

## Summarizing Robust Fits of Nonlinear Regression Models

### Description

`summary` method for objects of class `"nlrob"`, i.e., `nlrob()` results. Currently it only works for `nlrob(*, method="M")`.

### Usage

    ## S3 method for class 'nlrob'
    summary(object, correlation = FALSE, symbolic.cor = FALSE, ...)

### Arguments

`object` | an object of class `"nlrob"`, usually, a result of a call to `nlrob`.
`correlation` | logical variable indicating whether to compute the correlation matrix of the estimated coefficients.
`symbolic.cor` | logical indicating whether to use symbols to display the above correlation matrix.
`...` | further arguments passed to or from other methods.

### Value

The function `summary.nlrob` computes and returns an object of class `"summary.nlrob"` of summary statistics of the robustly fitted linear model given in `object`. There is a print method, `print.summary.lmrob()`, which nicely formats the output.

The result keeps a large part of `object`'s components such as `residuals`, `cov` or `w`, and additionally contains

`coefficients` | the matrix of coefficients, standard errors and p-values.
`correlation` | if the `correlation` argument was true, the correlation matrix of the parameters.

### Author(s)

Andreas Ruckstuhl

### See Also

`nlrob()`, also for examples.

[Package robustbase version 0.93-9 Index]