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Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs
install.packages("bwsTools")A paper introducing the package and showing basic usage information can be found at the Open Science Framework: https://osf.io/xftvq/
Aggregate estimates, based on: analytical estimation of the
multinomial logit model using ae_mnl() and Elo scores using
elo()
Individual estimates, based on: difference scores (best minus
worst) using diffscoring(), random walks in directed
networks using walkscoring(), empirical Bayes using
e_bayescoring(), Elo scores using
eloscoring(), and page rank scores using
prscoring()
A data.frame of balanced incomplete block designs for creating
these studies, bibds, and a function to generate a balanced
incomplete block design from this, make_bibd()
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.