论文标题
Gonogo：实施测试方法以执行，分析和模拟灵敏度实验
Gonogo: An R Implementation of Test Methods to Perform, Analyze and Simulate Sensitivity Experiments
论文作者
论文摘要
这项工作提供了Gonogo.R中包含的R功能套件的文档。这些功能提供了敏感性测试从业人员和研究人员，具有涉及二元反应和单个刺激水平的各种灵敏度实验的能力（例如，药物剂量，下降高度，速度等）。包括现代Neyer和3POD自适应程序，以及Bruceton和Langlie。后两个基准程序能够根据普遍的上下转换响应规则进行执行。每个过程均指定为三相实验的相位。一阶段的目的是实现重叠数据。另外两个（又是可选的）改进阶段采用了D-最佳标准和Robbins-Monro-Joseph程序。这两个改进阶段的目标是分别在潜在响应分布的中间和尾巴附近进行测试。
This work provides documentation for a suite of R functions contained in gonogo.R. The functions provide sensitivity testing practitioners and researchers with an ability to conduct, analyze and simulate various sensitivity experiments involving binary responses and a single stimulus level (e.g., drug dosage, drop height, velocity, etc.). Included are the modern Neyer and 3pod adaptive procedures, as well as the Bruceton and Langlie. The latter two benchmark procedures are capable of being performed according to generalized up-down transformed-response rules. Each procedure is designated phase-one of a three-phase experiment. The goal of phase-one is to achieve overlapping data. The two additional (and optional) refinement phases utilize the D-optimal criteria and the Robbins-Monro-Joseph procedure. The goals of the two refinement phases are to situate testing in the vicinity of the median and tails of the latent response distribution, respectively.
