Reinforcement-learning in mood and anxiety disorders: a simulation meta-analysis

These are the MCMC or MAP model fits estimated for different models fit to choices made on different synthetic benchmarking tasks in this simulation meta-analysis. From this data, we can estimate a) the best-fitting model to this meta-dataset; b) parameter values from either the best-fitting model, or from models in proportion to their fit to the data (Bayesian Model Averaging). These datasets are .RData files, so can be opened in R, or converted and uploaded into other settings. For more details on the project please see the page at osf.io: OSF | Reinforcement-learning in mood and anxiety disorders: a simulation meta-analysis

本数据集包含了对不同模型在模拟基准测试任务中做出的选择进行拟合的MCMC或MAP模型估计。通过分析这些数据，我们可以估计：a) 与此元数据集最佳拟合的模型；b) 来自最佳拟合模型或与数据拟合程度成比例的模型参数值（贝叶斯模型平均）。这些数据集以.RData文件格式存储，因此可以在R中打开，或者转换为其他格式并上传至其他平台。有关项目的更多详细信息，请参阅osf.io页面：OSF | 强化学习在情绪与焦虑障碍治疗中的应用：一项模拟元分析