LW1949: Automated Litchfield and Wilcoxon (1949) Evaluation of...

In LW1949: An Automated Approach to Evaluating Dose-Effect Experiments Following Litchfield and Wilcoxon (1949)

Description

LW1949 is an automated approach to Litchfield and Wilcoxon's (1949) evaluation of dose-effect experiments. LW1949 was first introduced by Adams et al. (in preparation).

Details

An example of how to use the functions in LW1949 is given in this vignette [link]. Use dataprep to create a data frame with the results of a dose-effect experiment. Use fitLWauto and LWestimate to fit dose-effect relations. And use plotDELP and plotDE to plot the results.

U.S. Geological Survey (USGS) Computer Program LW1949 version 1.1.0 Written by Jean V. Adams, USGS - Great Lakes Science Center glsc.usgs.gov, Ann Arbor, Michigan, USA. Written in programming language R (R Core Team, 2017, www.R-project.org), version 3.3.3 (2017-03-06). Run on a PC with Intel(R) Core(TM) I7-4600m CPU, 2.90 GHz processor, 16.0 GB RAM, and Microsoft Windows 7 Enterprise operating system 2009 Service Pack 1. Source code is available from Jean V. Adams on GitHub, github.com/JVAdams/LW1949, jvadams (at) usgs (dot) gov.

Disclaimer: Although this program has been used by the USGS, no warranty, expressed or implied, is made by the USGS or the United States Government as to the accuracy and functioning of the program and related program material nor shall the fact of distribution constitute any such warranty, and no responsibility is assumed by the USGS in connection therewith.

References

Adams, JV, KS Slaght, and MA Boogaard. 2016. An automated approach to Litchfield and Wilcoxon's evaluation of dose-effect experiments using the R package LW1949. Environmental Toxicology and Chemistry 35(12):3058-3061. DOI 10.1002/etc.3490. Adams, Jean V., Karen S. Slaght, and Michael A. Boogaard.",

Litchfield, JT Jr. and F Wilcoxon. 1949. A simplified method of evaluating dose-effect experiments. Journal of Pharmacology and Experimental Therapeutics 96(2):99-113. [link].

LW1949 documentation built on May 2, 2019, 6:11 a.m.