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ccrs
View on CRAN: Click
here
Download and install ccrs package within the R console
Install from CRAN:
install.packages("ccrs")
Install from Github:
library("remotes")
install_github("cran/ccrs")
Install by package version:
library("remotes")
install_version("ccrs", "0.1.0")
Attach the package and use:
library("ccrs")
Maintained by
Mariko Takagishi
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-04
Latest Update: 2019-03-04
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.
How to cite:
Mariko Takagishi (2019). ccrs: Correct and Cluster Response Style Biased Data. R package version 0.1.0, https://cran.r-project.org/web/packages/ccrs
Previous versions and publish date:
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Other R packages that ccrs depends,
imports, suggests or enhances
Functions, R codes and Examples using
the ccrs R package
Some associated functions: ccrs-package . ccrs . convert.X2F . correct.rs . create.ccrsdata . generate.rsdata . plot.crs . transformRSdata .
Some associated R codes: OBJfunc.R . ccrs-package.R . ccrs.R . ccrs.update.UG.func.R . ccrs.update.beta.func.R . convert.X2F.R . correct.rs.R . create.Mmat.R . create.ccrsdata.R . generate.rsdata.R . plot.crs.R . smooth.boundary.R . transformRSdata.R . Full ccrs package functions and examples
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