R package rsm: Response-surface methods and visualization

Features

• Response-surface methods have to do with conducting a series of small experiments to find the optimum operating conditions for a process. The rsm package provides tools for designing response-surface experiments, analyzing the results, finding promising new settings for future experiments, and visualization of fitted response surfaces.
• The package has three vignettes that will help orient the first-time user. Calling vignette("article", package = "rsm") brings up an updated rendering of the original JSS article that describes all of its functionality. A tutorial is available via vignette("illus", package = "rsm") -- it gives an illustration of how the package can be used. And one on rsm's plotting capabilities is available via vignette("plots", package = "rsm"); it shows details for contour, image, or perspective plots.
• Includes support for a coded-data structure, important for expressing the design layout relative to a central location.
• Standard first- and second-order designs may be generated and appropriately randomized.
• Facilities are provided for augmenting a design -- for example, adding a foldover block or a set of axis points.
• The rsm function is a special extension of lm that facilitates fitting and evaluating first- and second-order models. Special functions FO(), SO(), PQ(), and TWI() are used to generate first-order, second-order, pure quadratic, and two-way-interaction predictors for a model.
• Functions such as steepest() allow for finding follow-up experiments in terms of coded or decoded predictors.
• Graphical tools are provided for creating contour and other plots -- not just for rsm objects, abut for any lm object with continuous predictors.

Installation

• To install latest version from CRAN, run

install.packages("rsm")

Release notes for the latest CRAN version are found at http://cran.r-project.org/web/packages/rsm/NEWS -- or do news(package = "rsm") for notes on the version you have installed.

• To install the latest development version from Github, have the newest devtools package installed, then run

devtools::install_github("rvlenth/rsm", dependencies = TRUE)

For latest release notes on this development version, see the NEWS file