summary.mnp: Summarizing the results for the Multinomial Probit Models

In kosukeimai/MNP: Fitting the Multinomial Probit Model

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 Government and Department of Statistics, Harvard University [e-mail]

See Also

mnp

kosukeimai/MNP documentation built on March 15, 2023, 7:14 a.m.