Package: bwsTools 1.2.1.9000

bwsTools: Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs

Tools to design best-worst scaling designs (i.e., balanced incomplete block designs) and to analyze data from these designs, using aggregate and individual methods such as: difference scores, Louviere, Lings, Islam, Gudergan, & Flynn (2013) <doi:10.1016/j.ijresmar.2012.10.002>; analytical estimation, Lipovetsky & Conklin (2014) <doi:10.1016/j.jocm.2014.02.001>; empirical Bayes, Lipovetsky & Conklin (2015) <doi:10.1142/S1793536915500028>; Elo, Hollis (2018) <doi:10.3758/s13428-017-0898-2>; and network-based measures.

Authors:Mark White [aut, cre]

bwsTools_1.2.1.9000.tar.gz
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bwsTools.pdf |bwsTools.html✨
bwsTools/json (API)

# Install 'bwsTools' in R:
install.packages('bwsTools', repos = c('https://markhwhiteii.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/markhwhiteii/bwstools/issues

Datasets:
  • agg - Example Data for Non-BIBD Aggregate-Level Best-Worst Scaling
  • bibds - Balanced Incomplete Block Designs for use in Best-Worst Scaling
  • indiv - Example Data for Individual-Level Best-Worst Scaling
  • vdata - Example Data Used in Vignettes

On CRAN:

Conda:

5.72 score 13 stars 27 scripts 246 downloads 8 exports 27 dependencies

Last updated 4 years agofrom:39fed1081d. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 30 2025
R-4.5-winOKMar 30 2025
R-4.5-macOKMar 30 2025
R-4.5-linuxOKMar 30 2025
R-4.4-winOKMar 30 2025
R-4.4-macOKMar 30 2025
R-4.4-linuxOKMar 30 2025
R-4.3-winOKMar 30 2025
R-4.3-macOKMar 30 2025

Exports:ae_mnldiffscoringe_bayescoringeloeloscoringmake_bibdprscoringwalkscoring

Dependencies:AlgDesignclicpp11crossdesdplyrfansigenericsgluegtoolsigraphlatticelifecyclemagrittrMatrixpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Calculating Aggregate Scores

Rendered fromaggregate.Rmdusingknitr::rmarkdownon Mar 30 2025.

Last update: 2020-06-03
Started: 2020-03-19

Calculating Individual Scores

Rendered fromindividual.Rmdusingknitr::rmarkdownon Mar 30 2025.

Last update: 2020-03-19
Started: 2020-03-19

Tidying Data for Analysis

Rendered fromtidying_data.Rmdusingknitr::rmarkdownon Mar 30 2025.

Last update: 2020-03-19
Started: 2020-03-19