50% off | Unlimited Data & AI Learning

Last chance! 50% off unlimited learning

Sale ends in


MNP (version 1.0-4)

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

Description

summary method for class mnp.

Usage

summary.mnp(object, CI=c(2.5, 97.5), ...)

print.summary.mnp(x, digits = max(3, getOption("digits") - 3), ...)

Arguments

object
An output object from mprobit.
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.
x
An object of class summary.mnp.
digits
the number of significant digits to use when printing.
...
further arguments passed to or from other methods.

Value

  • summary.mnp yields an object of class summary.mnp containing the following elements:
  • callThe call from mprobit.
  • n.altThe total number of alternatives.
  • n.obsThe number of observations.
  • coef.tableThe summary of the posterior distribution of the coefficients.
  • cov.tableThe summary of the posterior distribtution of the covariance matrix.
  • This object can be printed by print.summary.mnp

See Also

mprobit