rsm v2.10

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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.

Functions in rsm

Name Description
steepest Steepest-ascent methods for response surfaces
varfcn Display the scaled variance function for a design
rsm Response-surface regression
coded.data Functions for coded data
model.data Reconstruct data from a linear model
rsm-package Response-surface analysis
contour.lm Surface plot(s) of a fitted linear model
ChemReact Chemical Reaction Data
djoin Join designs together into a blocked design
heli Paper Helicopter Data
FO Response-surface model components
ccd.pick Find a good central-composite design
codata Automobile emissions data
bbd Generate a Box-Behnken design
ccd Generate central-composite designs and associated building blocks
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Vignettes of rsm

Name
rs-illus-SA-anal2-fig.pdf
rs-illus-SA-anal6-fig.pdf
rs-illus-boot-anal7-fig.pdf
rs-illus-contour-anal7-fig.pdf
rs-illus-varfcn-FO-fig.pdf
rs-illus-varfcn-SO-fig.pdf
rs-illus-varfcn-SO2-fig.pdf
rs-illus.Rtex
rsm-plots-basics.pdf
rsm-plots-cont1.pdf
rsm-plots-cont2.pdf
rsm-plots-lessbas.pdf
rsm-plots-persp.pdf
rsm-plots.tex
rsm.Rtex
rsm.bib
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Details

Date 2018-09-01
License GPL (>= 2)
LazyLoad yes
LazyData yes
NeedsCompilation no
Packaged 2018-09-01 20:16:40 UTC; rlenth
Repository CRAN
Date/Publication 2018-09-02 20:50:02 UTC

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