MPTinR: Analysis of multinomial processing tree models in R
MPTinR: Analysis of multinomial processing tree models in R
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MPTinR：R 中多项处理树模型的分析
DOI：
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发表时间：
2013
影响因子：
5.4
通讯作者：
David Kellen
中科院分区：
文献类型：
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作者：
H. Singmann;David Kellen
介绍了为分析多项式处理树(MPT)模型而开发的一个软件包MPTinR。MPT模型代表了一类重要的分类数据认知测量模型，在许多领域都有应用。MPTinR是第一个用统计编程语言R分析MPT模型的软件，它提供了一个比独立软件包更灵活的建模框架。MPTinR还引入了一些重要功能，例如(1)计算MPT模型的Fisher信息近似模型复杂度的能力，(2)为MPT模型类之外的分类数据(如信号检测模型)拟合模型的能力，(3)跨一组嵌套和非嵌套候选模型的模型选择函数(使用几个模型选择指数)，以及(4)多核拟合。MPTinR可从综合R档案网络获得，网址为：http://cran.r-project.org/web/packages/MPTinR/.
We introduce MPTinR, a software package developed for the analysis of multinomial processing tree (MPT) models. MPT models represent a prominent class of cognitive measurement models for categorical data with applications in a wide variety of fields. MPTinR is the first software for the analysis of MPT models in the statistical programming language R, providing a modeling framework that is more flexible than standalone software packages. MPTinR also introduces important features such as (1) the ability to calculate the Fisher information approximation measure of model complexity for MPT models, (2) the ability to fit models for categorical data outside the MPT model class, such as signal detection models, (3) a function for model selection across a set of nested and nonnested candidate models (using several model selection indices), and (4) multicore fitting. MPTinR is available from the Comprehensive R Archive Network at http://cran.r-project.org/web/packages/MPTinR/.
关于多项处理树模型的最小描述长度复杂度。
影响因子：
1.8
作者：
Wu,Hao;Myung,JayI;Batchelder,WilliamH
通讯作者：
Batchelder,WilliamH