joncutting/gonogo: Sensitivity Test Suite

This package provides 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.

Getting started

Package details

AuthorPaul A. Roediger
MaintainerPaul A. Roediger <proediger@comcast.net>
LicenseMIT + file LICENSE
Version0.1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("joncutting/gonogo")
joncutting/gonogo documentation built on Jan. 23, 2022, 7:01 p.m.