Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Wallace Hui, Yulia R. Gel, Joseph L. Gastwirth
Title: lawstat: An R Package for Law, Public Policy and Biostatistics
Abstract: We present a new R software package lawstat that contains statistical tests and procedures that are utilized in various litigations on securities law, antitrust law, equal employment and discrimination as well as in public policy and biostatistics. Along with the well known tests such as the Bartels test, runs test, tests of homogeneity of several sample proportions, the Brunner-Munzel tests, the Lorenz curve, the Cochran-Mantel-Haenszel test and others, the package contains new distribution-free robust tests for symmetry, robust tests for normality that are more sensitive to heavy-tailed departures, measures of relative variability, Levene-type tests against trends in variances etc. All implemented tests and methods are illustrated by simulations and real-life examples from legal cases, economics and biostatistics. Although the package is called lawstat, it presents implementation and discussion of statistical procedures and tests that are also employed in a variety of other applications, e.g., biostatistics, environmental studies, social sciences and others, in other words, all applications utilizing statistical data analysis. Hence, name of the package should not be considered as a restriction to legal statistics. The package will be useful to applied statisticians and "quantitatively alert practitioners" of other subjects as well as an asset in teaching statistical courses.

Page views:: 6283. Submitted: 2007-11-12. Published: 2008-10-06.
Paper: lawstat: An R Package for Law, Public Policy and Biostatistics     Download PDF (Downloads: 6185)
Supplements:
lawstat_2.2.tar.gz: R source package Download (Downloads: 1040; 23KB)
v28i03.R: R example code from the paper Download (Downloads: 1598; 7KB)
Merck.dat: Merck trade volume data Download (Downloads: 908; 641B)

DOI: 10.18637/jss.v028.i03

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.