summary.mlcm: Summary Method for mlcm objects

In MLCM: Maximum Likelihood Conjoint Measurement

Summary Method for mlcm objects

Description

Method functions for mlcm and summary.glm objects.

Usage

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

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

Arguments

object	an object of class “mlcm”, a result of a call to mlcm
x	an object of class “summary.mlcm”, usually a call to summary.mlcm
digits	the number of significant digits to use when printing
...	further arguments passed to or from other methods

Details

Displays summary information from a “mlcm” object.

Value

A list of 5 elements

pscale	A named vector or matrix indicting the estimated scale values.
sigma	The estimate of the scale parameter, currently always set to 1.
logLik	The logarithm of the likelihood.
link	The link used for the binomial family.
model	A character string giving the name of the model fit.

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

Author(s)

Kenneth Knoblauch

References

Ho, Y. H., Landy. M. S. and Maloney, L. T. (2008). Conjoint measurement of gloss and surface texture. Psychological Science, 19, 196–204.

See Also

mlcm

Examples

summary(mlcm(BumpyGlossy))

MLCM documentation built on March 18, 2022, 7:31 p.m.