Package: ccrs
Type: Package
Title: Correct and Cluster Response Style Biased Data
Version: 0.1.0
Author: Mariko Takagishi [aut, cre]
Authors@R: c(person(given = "Mariko", family = "Takagishi", role = c("aut",
    "cre"), email = "m.takagishi0728@gmail.com"))
Maintainer: Mariko Takagishi <m.takagishi0728@gmail.com>
Description: 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.
License: GPL (>= 2)
Depends: R (>= 3.5.0)
Imports: cds, colorspace, dplyr, graphics, limSolve, lsbclust, methods,
        msm, parallel, stats, utils
NeedsCompilation: yes
Encoding: UTF-8
RoxygenNote: 6.1.1
Packaged: 2019-02-24 04:04:22 UTC; applesan
Repository: CRAN
Date/Publication: 2019-03-04 17:10:02 UTC
Built: R 4.1.3; ; 2023-04-17 17:59:31 UTC; windows
