The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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.