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unrepx: Analysis and Graphics for Unreplicated Experiments

Provides half-normal plots, reference plots, and Pareto plots of effects from an unreplicated experiment, along with various pseudo-standard-error measures, simulated reference distributions, and other tools. Many of these methods are described in Daniel C. (1959) <doi:10.1080/00401706.1959.10489866> and/or Lenth R.V. (1989) <doi:10.1080/00401706.1989.10488595>, but some new approaches are added and integrated in one package.

Version: 1.0-2
Suggests: knitr, rmarkdown
Published: 2022-08-11
DOI: 10.32614/CRAN.package.unrepx
Author: Russell Lenth [aut, cre, cph]
Maintainer: Russell Lenth <russell-lenth at uiowa.edu>
BugReports: https://github.com/rvlenth/unrepx/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: NEWS
In views: ExperimentalDesign
CRAN checks: unrepx results

Documentation:

Reference manual: unrepx.pdf
Vignettes: Overview of the unrepx package

Downloads:

Package source: unrepx_1.0-2.tar.gz
Windows binaries: r-devel: unrepx_1.0-2.zip, r-release: unrepx_1.0-2.zip, r-oldrel: unrepx_1.0-2.zip
macOS binaries: r-release (arm64): unrepx_1.0-2.tgz, r-oldrel (arm64): unrepx_1.0-2.tgz, r-release (x86_64): unrepx_1.0-2.tgz, r-oldrel (x86_64): unrepx_1.0-2.tgz
Old sources: unrepx archive

Reverse dependencies:

Reverse suggests: ggDoE, mapping

Linking:

Please use the canonical form https://CRAN.R-project.org/package=unrepx to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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