summary.mlds: Summary for a mlds fit

In MLDS: Maximum Likelihood Difference Scaling

Summary for a mlds fit

Description

Takes a fitted ‘mlbs’ or‘mlds’ object and produces a summary of it

Usage

## S3 method for class 'mlds'
summary(object, digits = max(3, getOption("digits") - 4), ...)

## S3 method for class 'summary.mlds'
print(x, digits = max(3, getOption("digits") - 4), ...)

## S3 method for class 'mlbs'
summary(object, digits = max(3, getOption("digits") - 4), ...)

## S3 method for class 'summary.mlbs'
print(x, digits = max(3, getOption("digits") - 4), ...)

Arguments

object	an object of class ‘mlbs’ or ‘mlds’typically produced by a call to mlds.
digits	The number of digits to display.
x	An object of class ‘summary.mlds’.
...	Addtional arguments passed to the default print method. Only effects the output of pscale.

Details

Displays summary information from a ‘mlds’ object.

Value

A list of 5 elements

pscale	A named vector indicating the difference scale. The names are the stimulus levels.
sigma	The estimate of the scale parameter. For method = “glm”, this is always 1.
logLik	The logarithm of likelihood.
method	The fitting method used, either “glm” or “optim”.
link	The link used for the binomial family.

Normally, print.summary.mlds is not meant to be called directly by the user.

Author(s)

Kenneth Knoblauch

See Also

mlds

Examples

data(kk1)
kk1.mlds <- mlds(SwapOrder(kk1))
summary(kk1.mlds)

MLDS documentation built on Aug. 20, 2023, 9:06 a.m.