Package: ccrs 0.1.0
Mariko Takagishi
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.
Authors:
ccrs_0.1.0.tar.gz
ccrs_0.1.0.tar.gz(r-4.5-noble)ccrs_0.1.0.tar.gz(r-4.4-noble)
ccrs_0.1.0.tgz(r-4.4-emscripten)ccrs_0.1.0.tgz(r-4.3-emscripten)
ccrs.pdf |ccrs.html✨
ccrs/json (API)
# Install 'ccrs' in R: |
install.packages('ccrs', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:3f94efe42a. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 14 2024 |
R-4.5-linux | NOTE | Dec 14 2024 |
Exports:ccrsconvert.X2Fcorrect.rscreate.ccrsdatagenerate.rsdatatransformRSdata
Dependencies:ADGofTestcdscliclueclustercodetoolscolorspacecopuladoParalleldplyrexpmfansifarverforeachgenericsggplot2gluegridExtragslgtableisobanditeratorslabelinglatticelifecyclelimSolvelpSolvelsbclustmagrittrMASSMatrixmgcvmsmmunsellmvtnormnlmenumDerivpcaPPpillarpkgconfigplyrpsplinequadprogR6RColorBrewerRcppreshape2rlangscalesstablediststringistringrsurvivaltibbletidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Correcting and Clustering preference data in the presence of response style bias. | ccrs-package |
Correcting and Clustering response style biased data | ccrs |
Convert data matrix to rank-ordered boundary data | convert.X2F |
Correct response-style-biased data | correct.rs |
Create a dataset for CCRS | create.ccrsdata |
Simulate preference data to apply CCRS | generate.rsdata |
Plot 'crs' objects | plot.crs |
Transform data by the estimated response function | transformRSdata |