Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs.
bwsTools
Tools for Case 1 Best-Worst Scaling (MaxDiff) Designs
Installation
install.packages("bwsTools")
Tutorial
A paper introducing the package and showing basic usage information can be found at the Open Science Framework: https://osf.io/xftvq/
Contents
Aggregate estimates, based on: analytical estimation of the multinomial logit model using
ae_mnl()
and Elo scores usingelo()
Individual estimates, based on: difference scores (best minus worst) using
diffscoring()
, random walks in directed networks usingwalkscoring()
, empirical Bayes usinge_bayescoring()
, Elo scores usingeloscoring()
, and page rank scores usingprscoring()
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()