ellipse.glm {ellipse} | R Documentation |
This function produces the ellipsoidal outline of an approximate pairwise confidence region for a generalized linear model fit.
ellipse.glm(x, which=c(1, 2), level=0.95, t=(see below), ...)
x |
The first argument should be an glm object, usually resulting from a call to glm(). |
which |
Which selects the pair of parameters to be plotted. The default is the first two. |
level |
The confidence level of the region. Default 95%. |
t |
The t statistic on the boundary of the ellipse. For Binomial or Poisson families, sqrt(qchisq(level,2)) is used; for other distributions, sqrt(2*qf(level,2,df)) where df is the residual degrees of freedom. |
... |
Other ellipse.default parameters may also be used. |
The summary function is used to obtain the approximate covariance matrix of the fitted parameters, the dispersion estimate, and the degrees of freedom.
A matrix with columns named according to which to outline the confidence region.
ellipse.default
data(solder.balance) fit <- glm(skips ~ ., data = solder.balance, family = poisson) plot(ellipse(fit))