Institut für Psychologie, Albert-Ludwigs-Universität Freiburg, Freiburg, Germany.
Behav Res Methods. 2013 Jun;45(2):560-75. doi: 10.3758/s13428-012-0259-0.
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/ .
我们介绍了 MPTinR，这是一个为分析多项处理树（MPT）模型而开发的软件包。MPT 模型是一类用于分类数据的重要认知测量模型，在许多领域都有应用。MPTinR 是统计编程语言 R 中第一个用于分析 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 还引入了一些重要的功能，如（1）计算 MPT 模型复杂度的 Fisher 信息近似度量的能力，（2）拟合 MPT 模型类以外的分类数据模型的能力，如信号检测模型，（3）在一组嵌套和非嵌套候选模型之间进行模型选择的函数（使用几个模型选择指标），以及（4）多核拟合。MPTinR 可从 Comprehensive R Archive Network 获得，网址为 http://cran.r-project.org/web/packages/MPTinR/ 。
