rsm v2.10.2
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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 | |
bbd | Generate a Box-Behnken design | |
FO | Response-surface model components | |
ChemReact | Chemical Reaction Data | |
ccd.pick | Find a good central-composite design | |
djoin | Join designs together into a blocked design | |
ccd | Generate central-composite designs and associated building blocks | |
coded.data | Functions for coded data | |
heli | Paper Helicopter Data | |
codata | Automobile emissions data | |
model.data | Reconstruct data from a linear model | |
contour.lm | Surface plot(s) of a fitted linear model | |
rsm | Response-surface regression | |
rsm-package | Response-surface analysis | |
steepest | Steepest-ascent methods for response surfaces | |
varfcn | Display the scaled variance function for a design | |
No Results! |
Vignettes of rsm
Last month downloads
Details
Date | 2020-09-03 |
License | GPL (>= 2) |
LazyLoad | yes |
LazyData | yes |
NeedsCompilation | no |
Packaged | 2020-09-03 22:43:55 UTC; rlenth |
Repository | CRAN |
Date/Publication | 2020-09-04 05:10:08 UTC |
suggests | conf.design , DoE.base , emmeans (> 1.3.5.1) , FrF2 , Vdgraph |
imports | estimability |
Contributors |
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