fddm：扩散决策模型PDF的快速实现
fddm
fddm提供了函数dfddm() ，该函数使用不同的方法来近似包含无限和的PDF来评估Ratcliff扩散决策模型（DDM）的密度函数（或概率密度函数，PDF）。 我们对DDM的实现具有以下参数： a ϵ（0，∞） （阈值分离）， v ϵ（-∞，∞） （漂移率）， t 0 ϵ [0，∞） （非决策时间/响应时间常数）， w ϵ（0，1） （相对起点）， sv ϵ（0，∞） （漂移的试验间变异性）和sigma ϵ（0，∞） （基础维纳过程的扩散系数）。
安装
您可以使用以下方法从安装发行的fddm版本：
install.packages("fddm")
以及来自的开发版本：
# install.packages("devtools")
devtools :: install_github( " rtdists/fddm " )
例子
作为一个初步的例子，我们将适应DDM将数据
文件下载
资源详情
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本站所有资源不代表本站的观点或立场，基于网友分享，根据中国法律《信息网络传播权保护条例》第二十二条之规定，若资源存在侵权或相关问题请联系本站客服人员，zhiweidada#qq.com，请把#换成@，本站将给予最大的支持与配合，做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明