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

In endogMNP: R Package for Fitting Multinomial Probit Models with Endogenous Selection

Description

summary method for class endogMNP.

Usage

  ## S3 method for class 'endogMNP'
summary(object, CI=c(2.5, 97.5), discard=1, ...)

  ## S3 method for class 'summary.endogMNP'
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

Author(s)

Lane Burgette, Department of Statistical Science, Duke University, [e-mail]

See Also

endogMNP

endogMNP documentation built on May 1, 2019, 10:56 p.m.