ymatrix.mnp

data

The name of the base category. The default is the lowest
    level of the response variable. For the Multinomial ordered Probit
    model, the default base category will be the last column in the
    response variables.

base

logical. <code>TRUE</code> for generating the names for the coefficients as
  well as the model matrix. The default is <code>FALSE</code>.

extra

logical. If <code>TRUE</code>, helpful messages
    are printed on the screen. The default is <code>FALSE</code>.

verbose

<code>ymatrix.mnp.R</code> is a function used to generate the response matrix
  for the Multinomial Probit models.

misc

MNP is a publicly available R package that fits the
  Bayesian Multinomial Probit models via Markov chain Monte Carlo. Along
  with the standard Multinomial Probit model, it can also fit models
  with different choice sets for each observation and complete or
  partial ordering of all the available alternatives. The estimation
  is based on the efficient marginal data augmentation algorithm that
  is developed by Imai and van Dyk (2004).

ymatrix.mnp: ymatrix.mnp: Generating the response matrix for the Multinomial Probit Models

Description

Usage

Arguments

Value

See Also