summary.lambda: Summary Method for Objects of Class 'lambda'

Description Usage Arguments Details Value Author(s) See Also

View source: R/glm.lambda.R

Description

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.

Usage

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## 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"), ...) 

Arguments

object

Fitted model object of class “lambda” inheriting from glm and lm. Typically the output of glm.lambda.

x

an object of class “summary.lambda”, usually a result of a call to summary.lambda.

digits

the number of significant digits to use when printing.

symbolic.cor

logical. If TRUE, print the correlations in a symbolic form (see symnum) rather than as numbers.

signif.stars

logical. If TRUE, “significance stars” are printed for each coefficient.

...

further arguments passed to or from other methods.

Details

Provides a summary of the class lambda object generated by glm.lambda.

Value

Returns the same structure as summary.glm with an added component, lambda. 1 - λ is the estimated upper asymptote of the psychometric function.

Author(s)

Ken Knoblauch

See Also

probit.lambda, glm.lambda


psyphy documentation built on Nov. 10, 2020, 3:49 p.m.