rsm: Response-Surface Analysis

Provides functions to generate response-surface designs, fit first- and second-order response-surface models, make surface plots, obtain the path of steepest ascent, and do canonical analysis. A good reference on these methods is Chapter 10 of Wu, C-F J and Hamada, M (2009) "Experiments: Planning, Analysis, and Parameter Design Optimization" ISBN 978-0-471-69946-0. An early version of the package is documented in Journal of Statistical Software <doi:10.18637/jss.v032.i07>.

Version: 2.10.3
Imports: estimability
Suggests: emmeans (> 1.3.5.1), Vdgraph, conf.design, DoE.base, FrF2
Published: 2021-10-06
Author: Russell Lenth [aut, cre]
Maintainer: Russell Lenth <russell-lenth at uiowa.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: rsm citation info
Materials: NEWS
In views: ExperimentalDesign
CRAN checks: rsm results

Downloads:

Reference manual: rsm.pdf
Vignettes: Response-Surface Illustration
Surface Plots in the rsm Package
Response-Surface Methods in R, Using rsm
Package source: rsm_2.10.3.tar.gz
Windows binaries: r-devel: rsm_2.10.3.zip, r-release: rsm_2.10.3.zip, r-oldrel: rsm_2.10.3.zip
macOS binaries: r-release (arm64): rsm_2.10.2.tgz, r-release (x86_64): rsm_2.10.3.tgz, r-oldrel: rsm_2.10.3.tgz
Old sources: rsm archive

Reverse dependencies:

Reverse depends: DoE.wrapper, IPO
Reverse imports: HoRM, mclcar, OptimaRegion, rsurface, SPOT
Reverse suggests: emmeans, industRial, mistat, mlr, vdg

Linking:

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