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:	2.10.4
Imports:	estimability
Suggests:	emmeans (> 1.3.5.1), Vdgraph, conf.design, DoE.base, FrF2
Published:	2023-09-20
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

Documentation:

Reference manual:	rsm.pdf
Vignettes:	Response-Surface Illustration Surface Plots in the rsm Package Response-Surface Methods in R, Using rsm

Downloads:

Package source:	rsm_2.10.4.tar.gz
Windows binaries:	r-devel: rsm_2.10.4.zip, r-release: rsm_2.10.4.zip, r-oldrel: rsm_2.10.4.zip
macOS binaries:	r-release (arm64): rsm_2.10.4.tgz, r-oldrel (arm64): rsm_2.10.4.tgz, r-release (x86_64): rsm_2.10.4.tgz, r-oldrel (x86_64): rsm_2.10.4.tgz
Old sources:	rsm archive

Reverse dependencies:

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

Linking:

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