Identical to summary.glm but with one line of additional output: the estimate of lambda from glm.lambda, obtained by profiling the deviance and estimating its minimum.
# S3 method for lambda
summary(object, ...)
# S3 method for summary.lambda
print(x, digits = max(3, getOption("digits") - 3),
symbolic.cor = x$symbolic.cor,
signif.stars = getOption("show.signif.stars"), ...)Fitted model object of class “lambda” inheriting from glm and lm. Typically the output of glm.lambda.
an object of class “summary.lambda”, usually a result of a call to summary.lambda.
the number of significant digits to use when printing.
logical. If TRUE, print the correlations in a symbolic form (see symnum) rather than as numbers.
logical. If TRUE, “significance stars” are printed for each coefficient.
further arguments passed to or from other methods.
Returns the same structure as summary.glm with an added component, lambda. \(1 - \lambda\) is the estimated upper asymptote of the psychometric function.
Provides a summary of the class lambda object generated by glm.lambda.