| summary.lambda | R Documentation |
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 class 'lambda'
summary(object, ...)
## S3 method for class 'summary.lambda'
print(x, digits = max(3, getOption("digits") - 3),
symbolic.cor = x$symbolic.cor,
signif.stars = getOption("show.signif.stars"), ...)
object |
Fitted model object of class “lambda” inheriting from |
x |
an object of class “summary.lambda”, usually a result of a call to |
digits |
the number of significant digits to use when printing. |
symbolic.cor |
logical. If |
signif.stars |
logical. If |
... |
further arguments passed to or from other methods. |
Provides a summary of the class lambda object generated by glm.lambda.
Returns the same structure as summary.glm with an added component, lambda. 1 - \lambda is the estimated upper asymptote of the psychometric function.
Ken Knoblauch
probit.lambda, glm.lambda
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