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This work provides documentation for a suite of R functions contained ingonogo.R. The functions provide sensitivity testing practitioners andresearchers with an ability to conduct, analyze and simulate varioussensitivity experiments involving binary responses and a single stimulus level(e.g., drug dosage, drop height, velocity, etc.). Included are the modern Neyerand 3pod adaptive procedures, as well as the Bruceton and Langlie. The lattertwo benchmark procedures are capable of being performed according togeneralized up-down transformed-response rules. Each procedure is designatedphase-one of a three-phase experiment. The goal of phase-one is to achieveoverlapping data. The two additional (and optional) refinement phases utilizethe D-optimal criteria and the Robbins-Monro-Joseph procedure. The goals of thetwo refinement phases are to situate testing in the vicinity of the median andtails of the latent response distribution, respectively.

Gonogo: An R Implementation of Test Methods to Perform, Analyze and Simulate Sensitivity Experiments