endogMNP (version 0.2-1)

summary.endogMNP: Summarizing the results for the Multinomial Probit Models with Endogeneity

Description

summary method for class endogMNP.

Usage

"summary"(object, CI=c(2.5, 97.5), discard=1, ...)
  "print"(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

object

An output object from endogMNP.

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.

discard

Discard the observations before discard as burn-in.

x

An object of class summary.endogMNP.

digits

the number of significant digits to use when printing.

...

further arguments passed to or from other methods.

Value

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

call

The call from endogMNP.

selBase

The base category for the selection model.

outBase

The base category for the outcome model.

n.obs

The number of observations.

n.param

The number of estimated parameters (including fixed elements of the covariance).

n.draws

The number of Gibbs draws stored.

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.enodgMNP

See Also

endogMNP