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"), ...)Returns the same structure as summary.glm with an added component, lambda. \(1 - \lambda\) is the estimated upper asymptote of the psychometric function.
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.
Ken Knoblauch
Provides a summary of the class lambda object generated by glm.lambda.
probit.lambda, glm.lambda