mistat: Data sets, functions and examples from the book:"Modern Industrial Statistics" by Kenett, Zacks and Amberti

This R package is providing all the data sets and statistical analysis applications used in Modern Industrial Statistics, with applications using R, MINITAB and JMP by R.S. Kenett and S. Zacks with contributions by D. Amberti, John Wiley and Sons, 2013, which is a second revised and expanded revision of Modern Industrial Statistics: Design and Control of Quality and Reliability, R. Kenett and S. Zacks, Duxbury/Wadsworth Publishing, 1998.

Version: 1.0-2
Depends: R (≥ 2.14), graphics, grDevices, methods, stats, utils
Suggests: e1071, mvtnorm, AcceptanceSampling, boot, car, Dodge, tseries, qcc, DoE.base, FrF2, rsm, LearnBayes, ggplot2, grid, DiceEval, DiceKriging, DiceDesign, DiceView, lhs, survival
Published: 2014-01-20
Author: Daniele Amberti
Maintainer: Daniele Amberti <daniele.amberti at i4CAnalytics.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: mistat results


Reference manual: mistat.pdf
Package source: mistat_1.0-2.tar.gz
Windows binaries: r-devel: mistat_1.0-2.zip, r-release: mistat_1.0-2.zip, r-oldrel: mistat_1.0-2.zip
OS X Snow Leopard binaries: r-release: mistat_1.0-2.tgz, r-oldrel: mistat_1.0-2.tgz
OS X Mavericks binaries: r-release: mistat_1.0-2.tgz
Old sources: mistat archive