The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

ccrs: Correct and Cluster Response Style Biased Data

Functions for performing Correcting and Clustering response-style-biased preference data (CCRS). The main functions are correct.RS() for correcting for response styles, and ccrs() for simultaneously correcting and content-based clustering. The procedure begin with making rank-ordered boundary data from the given preference matrix using a function called create.ccrsdata(). Then in correct.RS(), the response style is corrected as follows: the rank-ordered boundary data are smoothed by I-spline functions, the given preference data are transformed by the smoothed functions. The resulting data matrix, which is considered as bias-corrected data, can be used for any data analysis methods. If one wants to cluster respondents based on their indicated preferences (content-based clustering), ccrs() can be applied to the given (response-style-biased) preference data, which simultaneously corrects for response styles and clusters respondents based on the contents. Also, the correction result can be checked by plot.crs() function.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: cds, colorspace, dplyr, graphics, limSolve, lsbclust, methods, msm, parallel, stats, utils
Published: 2019-03-04
DOI: 10.32614/CRAN.package.ccrs
Author: Mariko Takagishi [aut, cre]
Maintainer: Mariko Takagishi <m.takagishi0728 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: ccrs results

Documentation:

Reference manual: ccrs.pdf

Downloads:

Package source: ccrs_0.1.0.tar.gz
Windows binaries: r-devel: ccrs_0.1.0.zip, r-release: ccrs_0.1.0.zip, r-oldrel: ccrs_0.1.0.zip
macOS binaries: r-release (arm64): ccrs_0.1.0.tgz, r-oldrel (arm64): ccrs_0.1.0.tgz, r-release (x86_64): ccrs_0.1.0.tgz, r-oldrel (x86_64): ccrs_0.1.0.tgz

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.