| summary.mlcm {MLCM} | R Documentation |
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 |
x |
an object of class “summary.mlcm”, usually a call to |
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
Examples
summary(mlcm(BumpyGlossy))