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anominate (version 0.7)

Alpha-NOMINATE Ideal Point Estimator

Description

Provides functions to estimate and interpret the alpha-NOMINATE ideal point model developed in Carroll et al. (2013, ). alpha-NOMINATE extends traditional spatial voting frameworks by allowing for a mixture of Gaussian and quadratic utility functions, providing flexibility in modeling political actors' preferences. The package uses Markov Chain Monte Carlo (MCMC) methods for parameter estimation, supporting robust inference about individuals' ideological positions and the shape of their utility functions. It also contains functions to simulate data from the model and to calculate the probability of a vote passing given the ideal points of the legislators/voters and the estimated location of the choice alternatives.

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Version

Install

install.packages('anominate')

Monthly Downloads

50

Version

0.7

License

GPL-2

Last Published

November 22nd, 2024

Functions in anominate (0.7)

quad_anom

alpha-NOMINATE Result for Simulated Roll Call Matrix using Quadratic Utility
sen111_anom

alpha-NOMINATE Result for 111th U.S. Senate Roll Call Vote Matrix
norm_anom

alpha-NOMINATE Result for Simulated Roll Call Matrix using Normal Utility
sen111

111th U.S. Senate Roll Call Vote Matrix
plot.anominate

alpha-NOMINATE Coordinate Plot
traceplot.anominate

alpha-NOMINATE Trace Plot
simulateData

Simulated Roll Call Vote Matrices Generated with Normal (Gaussian) or Quadratic Utility for alpha-NOMINATE
densplot.anominate

alpha-NOMINATE Density Plot
anominate

alpha-NOMINATE: Ideal Point Estimator
summary.anominate

alpha-NOMINATE Summary