summary.anoas: Summary and Print Methods for ANOAS objects

View source: R/anoas.R

summary.anoasR Documentation

Summary and Print Methods for ANOAS objects

Description

These functions print the summary of a list of models fitted using the anoas function.

Usage

## S3 method for class 'anoas'
summary(object, ...)

## S3 method for class 'anoas'
print(x, ...)

## S3 method for class 'summary.anoas'
print(x, digits = 1, nsmall = 2, scientific = FALSE, ...)

Arguments

object

an anoas object.

x

an anoas object.

digits

See ?format.

nsmall

See ?format.

scientific

See ?format.

...

more arguments to be passed to further methods (ignored by summary.anoas).

Details

Contrary to most analyses of association in the literature, this function currently does not fit uniform association model (“U”), nor separate models with only row and column association (“R” and “C” models), nor log-linear row and column association models.

Currently, no significance test is performed on the models. Please note that it is not correct to test the one-dimension association model against the independence model.

Value

A data.frame with the following columns:

Res. Df

the residual number of degrees of freedom of the model.

Res. Dev

the residual deviance of the model (likelihood ratio Chi-squared statistic, or L-squared).

Dev. Indep. (%)

the ratio of the residual deviance of the model over that of the independence model, times 100. This measures the share of departure from independence that cannot be explained using the number of dimensions of the model.

Dissim. (%)

the dissimilarity index of the model's fitted values with regard to the observed data.

BIC

the Bayesian Information Criterion for the model.

AIC

Akaike's An Information Criterion for the model.

Deviance

the reduction in deviance of the model compared to the previous one

Df

the reduction in the number of degrees of freedom of the model compared to the previous one.

Author(s)

Milan Bouchet-Valat

See Also

anoas, anoasL


logmult documentation built on March 18, 2022, 7:12 p.m.