summary.lambda {psyphy} | 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 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. |
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 - λ is the estimated upper asymptote of the psychometric function.
Ken Knoblauch