RSA: Response Surface Analysis

Advanced response surface analysis. The main function RSA computes and compares several nested polynomial regression models (full second- or third-order polynomial, shifted and rotated squared difference model, rising ridge surfaces, basic squared difference model, asymmetric or level-dependent congruence effect models). The package provides plotting functions for 3d wireframe surfaces, interactive 3d plots, and contour plots. Calculates many surface parameters (a1 to a5, principal axes, stationary point, eigenvalues) and provides standard, robust, or bootstrapped standard errors and confidence intervals for them.

Version: 0.10.0
Depends: R (≥ 2.15.0), lavaan (≥ 0.5.20), ggplot2, lattice
Imports: plyr, RColorBrewer, aplpack, tkrplot, methods
Suggests: fields, rgl, qgraph, tcltk, testthat, covr
Published: 2020-04-29
Author: Felix Schönbrodt [cre, aut], Sarah Humberg [aut]
Maintainer: Felix Schönbrodt <felix at nicebread.de>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: RSA citation info
CRAN checks: RSA results

Downloads:

Reference manual: RSA.pdf
Package source: RSA_0.10.0.tar.gz
Windows binaries: r-devel: RSA_0.10.0.zip, r-release: RSA_0.10.0.zip, r-oldrel: RSA_0.10.0.zip
macOS binaries: r-release: RSA_0.10.0.tgz, r-oldrel: RSA_0.10.0.tgz
Old sources: RSA archive

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