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

1
2
## 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.

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.