ProcData: an R package for process data analysis

DOI10.1007/s11336-021-09798-7zbMath1478.62365arXiv2006.05061OpenAlexW3190924066MaRDI QIDQ2073752

Zhi Wang, Xueying Tang, Susu Zhang, Zhiliang Ying, Jingchen Liu

Publication date: 7 February 2022

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.05061

zbMATH Keywords

autoencodermultidimensional scalingsequence modelprocess data analysis

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to psychology (62P15)

Related Items

Accurate assessment via process data ⋮ ProcData

Uses Software

• R
• RMSprop
• Adam
• ADADELTA

Cites Work

• Unnamed Item
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• A Family of Variable-Metric Methods Derived by Variational Means
• A new approach to variable metric algorithms
• The Convergence of a Class of Double-rank Minimization Algorithms 1. General Considerations
• Conditioning of Quasi-Newton Methods for Function Minimization
• A Stochastic Approximation Method
• An exploratory analysis of the latent structure of process data via action sequence autoencoders