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summary.mnp

Summarizing the results for the Multinomial Probit Models


Description

summary method for class mnp.

Usage

## S3 method for class 'mnp'
summary(object, CI = c(2.5, 97.5), ...)

Arguments

object

An output object from mnp.

CI

A 2 dimensional vector of lower and upper bounds for the credible intervals used to summarize the results. The default is the equal tail 95 percent credible interval.

...

further arguments passed to or from other methods.

Value

summary.mnp yields an object of class summary.mnp containing the following elements:

call

The call from mnp.

n.alt

The total number of alternatives.

base

The base category used for fitting.

n.obs

The number of observations.

n.param

The number of estimated parameters.

n.draws

The number of Gibbs draws used for the summary.

coef.table

The summary of the posterior distribution of the coefficients.

cov.table

The summary of the posterior distribution of the covariance matrix.

This object can be printed by print.summary.mnp

Author(s)

Kosuke Imai, Department of Politics, Princeton University kimai@Princeton.Edu

See Also

mnp


MNP

Fitting the Multinomial Probit Model

v3.1-1
GPL (>= 2)
Authors
Kosuke Imai [aut, cre], David van Dyk [aut], Hubert Jin [ctb]
Initial release
2020-10-22

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