`nomprob`

takes estimates from the W-NOMINATE model and returns a
matrix of yea choice probabilities. It is used to generate a test
`rollcall`

object using `generateTestData`

.

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For items below, m is the number of roll calls, n the number of legislators, and d the number of dimensions.

`yea` |
m x d matrix of yea locations. |

`nay` |
m x d matrix of no locations. |

`ideal` |
n x d matrix of legislator ideal points. |

`Beta` |
scalar giving beta parameter from W-NOMINATE. Usually set to 15. |

`dimweight` |
d x 1 vector of dimension weights. Usually set to 0.5. |

`normal` |
integer, '1' generates data using normal probabilities, any other value generates data using logistic probabilities. |

An n x m matrix of probabilities giving the probability of yea for each of n legislators on each of m votes

Keith Poole ktpoole@uga.edu

Jeffrey Lewis jblewis@ucla.edu

James Lo lojames@usc.edu

Royce Carroll rcarroll@rice.edu

'generateTestData' and 'wnominate'.

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