MNP: R Package for Fitting the Multinomial Probit Model
MNP: R Package for Fitting the Multinomial Probit Model
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MNP：用于拟合多项式概率模型的 R 包
DOI：
10.18637/jss.v014.i03
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
D. V. Dyk
中科院分区：
文献类型：
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作者：
K. Imai;D. V. Dyk
MNP是一个公开可用的R包，通过马尔可夫链蒙特卡罗拟合贝叶斯多项式概率模型。多项概率单位模型常用于分析调查数据中记录的个体所做的离散选择。多项概率单位模型可能有用的例子包括市场研究中消费者对产品选择的分析，以及选举研究中选民对候选人或政党选择的分析。MNP软件还可以为每个人提供不同的选择集，以及选择集中可用选项的完整或部分个体选择排序。该估计基于由Imai和货车Dyk（2005）开发的有效的边缘数据增强算法。
MNP is a publicly available R package that fits the Bayesian multinomial probit model via Markov chain Monte Carlo. The multinomial probit model is often used to analyze the discrete choices made by individuals recorded in survey data. Examples where the multinomial probit model may be useful include the analysis of product choice by consumers in market research and the analysis of candidate or party choice by voters in electoral studies. The MNP software can also fit the model with different choice sets for each individual, and complete or partial individual choice orderings of the available alternatives from the choice set. The estimation is based on the efficient marginal data augmentation algorithm that is developed by Imai and van Dyk (2005).