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  • Getting Started • hBayesDM - GitHub Pages
    We introduce a free R package hBayesDM, which offers HBA of various computational models on an array of decision-making tasks (see below for a list of tasks and models currently available)
  • GitHub - CCS-Lab hBayesDM: Hierarchical Bayesian modeling of RLDM tasks . . .
    hBayesDM (hierarchical Bayesian modeling of Decision-Making tasks) is a user-friendly package that offers hierarchical Bayesian analysis of various computational models on an array of decision-making tasks hBayesDM uses Stan (via CmdStan) for Bayesian inference
  • Hierarchical Bayesian Modeling of Decision-Making Tasks
    hBayesDM (hierarchical Bayesian modeling of Decision-Making tasks) is a user-friendly package that offers hierarchical Bayesian analysis of various computational models on an array of decision-making tasks hBayesDM uses Stan for Bayesian inference
  • CRAN: Package hBayesDM
    Package ‘hBayesDM’ was removed from the CRAN repository Formerly available versions can be obtained from the archive Archived on 2026-01-04 as issues were not addressed in time A summary of the most recent check results can be obtained from the check results archive
  • hBayesDM：决策制定任务的高级贝叶斯分析工具-CSDN博客
    hBayesDM作为一个功能强大的开源工具，不仅为研究人员提供了一个强大的分析平台，而且推动了决策制定行为的研究进展。 通过hBayesDM，研究人员可以更好地理解和预测个体在复杂环境中的决策行为，这对于推动相关学科的发展具有重要意义。
  • CRAN: Package hBayesDM
    hBayesDM: Hierarchical Bayesian Modeling of Decision-Making Tasks Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework
  • hBayesDM - 分层贝叶斯决策建模工具支持R和Python - 懂AI
    hBayesDM是一个为决策任务提供分层贝叶斯分析的开源软件包。 它基于Stan进行贝叶斯推断，支持R和Python语言。 该工具能分析强化学习和决策制定的神经计算机制，为心理学、神经科学和行为经济学等领域的研究者提供强大的分析支持。
  • hBayesDM：面向强化学习与决策建模的R Python跨平台 . . .
    hBayesDM（Hierarchical Bayesian Modeling of Reinforcement Learning and Decision-Making Tasks）是一个面向认知神经科学、计算精神病学、行为经济学与决策神经科学等交叉领域的开源计算建模工具包，其核心目标是为研究者提供一套标准化、可复现、高鲁棒性的分层贝叶斯
  • R: Hierarchical Bayesian Modeling of Decision-Making Tasks
    Fit an array of decision-making tasks with computational models in a hierarchical Bayesian framework Can perform hierarchical Bayesian analysis of various computational models with a single line of coding Bolded tasks, followed by their respective models, are itemized below Woo-Young Ahn wahn55@snu ac kr Nathaniel Haines haines 175@osu edu





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