SixSigma: Six Sigma Tools for Quality Control and Improvement
Functions and utilities to perform
Statistical Analyses in the Six Sigma way.
Through the DMAIC cycle (Define, Measure, Analyze, Improve, Control),
you can manage several Quality Management studies:
Gage R&R, Capability Analysis, Control Charts, Loss Function Analysis,
etc. Data frames used in the books "Six Sigma with R" [ISBN 978-1-4614-3652-2]
and "Quality Control with R" [ISBN 978-3-319-24046-6],
are also included in the package.
Version: |
0.11.1 |
Depends: |
R (≥ 3.5.0) |
Imports: |
grDevices, stats, graphics, lattice, ggplot2, reshape2, nortest, e1071, scales, testthat, xtable |
Suggests: |
covr |
Published: |
2023-08-22 |
DOI: |
10.32614/CRAN.package.SixSigma |
Author: |
Emilio L. Cano
[aut, cre],
Javier M. Moguerza [aut],
Mariano Prieto [aut],
Andrés Redchuk [aut],
Karl Tatgenhorst
[ctb],
Paula Martínez [ctb],
Manuel Alfaro [ctb] |
Maintainer: |
Emilio L. Cano <emilio at lcano.com> |
BugReports: |
https://github.com/emilopezcano/SixSigma/issues/ |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://www.sixsigmawithr.com/,
http://emilopezcano.github.io/SixSigma/,
https://github.com/emilopezcano/SixSigma/ |
NeedsCompilation: |
no |
Citation: |
SixSigma citation info |
Materials: |
NEWS |
CRAN checks: |
SixSigma results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=SixSigma
to link to this page.