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bwsTools  

Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs
View on CRAN: Click here


Download and install bwsTools package within the R console
Install from CRAN:
install.packages("bwsTools")

Install from Github:
library("remotes")
install_github("cran/bwsTools")

Install by package version:
library("remotes")
install_version("bwsTools", "1.2.0")



Attach the package and use:
library("bwsTools")
Maintained by
Mark White
[Scholar Profile | Author Map]
First Published: 2019-12-04
Latest Update: 2020-08-26
Description:
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) ; analytical estimation, Lipovetsky & Conklin (2014) ; empirical Bayes, Lipovetsky & Conklin (2015) ; Elo, Hollis (2018) ; and network-based measures.
How to cite:
Mark White (2019). bwsTools: Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs. R package version 1.2.0, https://cran.r-project.org/web/packages/bwsTools. Accessed 09 Apr. 2025.
Previous versions and publish date:
1.0.1 (2019-12-04 12:30), 1.1.0 (2020-03-19 21:30), 1.1.1 (2020-06-14 16:30)
Other packages that cited bwsTools R package
View bwsTools citation profile
Other R packages that bwsTools depends, imports, suggests or enhances
Complete documentation for bwsTools
Functions, R codes and Examples using the bwsTools R package
Some associated functions: ae_mnl . agg . bibds . diffscoring . e_bayescoring . elo . eloscoring . indiv . make_bibd . prscoring . vdata . walkscoring . 
Some associated R codes: ae_mnl.R . data.R . diffscoring.R . e_bayescoring.R . elo.R . eloscoring.R . get_M.R . get_b.R . get_b0.R . get_checks.R . get_choice_p.R . get_eloresults.R . get_eloscores.R . get_prscores.R . get_walkscores.R . globals.R . make_bibd.R . prscoring.R . walkscoring.R .  Full bwsTools package functions and examples
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