Summarizing Robust Fits of Nonlinear Regression Models
summary method for objects of class "nlrob", i.e.,
nlrob() results. Currently it only works for
nlrob(*, method="M").
## S3 method for class 'nlrob' summary(object, correlation = FALSE, symbolic.cor = FALSE, ...)
object |
an object of class |
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. |
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 |
Andreas Ruckstuhl
nlrob(), also for examples.
Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.