Version 1.0-0 of fechner has been released to CRAN.
Fechnerian scaling of discrete object (or stimulus) sets provides a
theoretical framework for deriving, so-called Fechnerian, distances
among objects representing subjective dissimilarities. A Fechnerian
metric on a set of stimuli is constructed from the probabilities with
which the objects are discriminated from each other by a perceiving
system. In addition to the oriented and overall Fechnerian distances,
the package fechner also computes such related information as the
points of subjective equality, the psychometric increments, the
geodesic chains and loops with their corresponding lengths, and the
generalized Shepardian dissimilarities. Moreover, the package fechner
provides functions for checking the required data format and the
fundamental regular minimality/maximality condition.
Best regards,
Thomas Kiefer
Ali Uenlue
--
Department of Computer-Oriented Statistics and Data Analysis
Institute of Mathematics
University of Augsburg
http://stats.math.uni-augsburg.de/
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