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textir (version 1.5.2)

summary.mnlm: mnlm summary

Description

Summary function for Multinomial Logistic Regression

Usage

## S3 method for class 'mnlm':
summary( object, y=NULL, ... )

Arguments

object
An output object from the mnlm function.
y
A possible response (sentiment) variable of interest in an inverse regression setting.
...
Additional unused arguments.

Value

  • A printout describing the regression coefficients (dimension and sparsity) along with some within-sample correlations, depending on the response format. If y is specified and code{ncol{object$counts}>2}, we also print the goodness-of-fit R2 for least-squares linear regression of y onto the sufficient reduction freq(X)%*%loadings.

Details

A short summary function for mnlm objects.

References

Taddy (2011), Inverse Regression for Analysis of Sentiment in Text. http://arxiv.org/abs/1012.2098

See Also

mnlm, congress109, we8there