Software
QVisVis
The QVisVis software and framework contains a set of functions for analyzing visualization agreement and quality. Both basic functions for calculating solution neighborhood agreement and functions for visualizing solution agreement and quality are included. The software comes with a freeware common development and distribution license, which can be found at the <GNU GPL 3.0> webpage.
If you utilize this software for academic research then please cite the following article:
France, S.L., Akkucuk, U. (2020). A Review, Framework, and R toolkit for Exploring, Evaluating, and Comparing Visualization Methods. The Visual Computer. In Press (PN028)
The software is now stored on a GitHub repository. The GITHUB repository contains executables for PC and Mac, MATLAB source code, and a user manual.
FlexCCT
A maximum likelihood implementation of cultural consensus theory. The software incorporates a range of model fitting techniques, incorporates item easiness difficulty parameters, and allows for both additive and multiplicative user bias. A windows GUI application includes most of the basic features. The software comes with a freeware common development and distribution license, which can be found at the <GNU GPL 3.0> webpage. If you utilize this software for academic research then please cite the following articles:
France, S.L., Varghafi, M, Batchelder, W. (2016). FlexCCT: Software for Ratings Analysis and Wisdom of the Crowd Applications, IEEE Transactions on Computational Social Systems, 5(2). 358-370. (PN024).
France, S.L., Batchelder, W. H. (2015). A Maximum Likelihood Item Easiness Model for Test Theory Without An Answer Key, Educational and Psychological Measurement, 75(1), 57-77. (PN017)
The software downloads are given below.
FlexCCTV2.6: Contains the implementation of the CCT methods described in the papers above. The software is now stored on a GitHub repository. The GITHUB repository contains executables for PC and Mac, MATLAB source code, and a user manual.
SUBMAket Identification and Testing (SUBMARIT)
The SUBMAket Identification and Testing package includes a set a MATLAB source functions for market structure cluster analysis based upon deviations in the ACRM (aggregate constant ratio model). Functions are included for submarket clustering, along with a range of tools for analyzing and interpreting the resulting submarket structures. Tools include LPOCV stability analysis, analysis of top-k solutions, a Gap index to help choose the number of submarkets, and tools to analyze solution significance. Please see READMEFIRST.txt for a list of files. The software comes with a freeware common development and distribution license, which can be found at the CDDL-1.0 webpage. If you utilize this software for academic research then please cite the following article:
France, S.L., Ghose, S. (2015). An Analysis and Visualization Methodology for Identifying and Testing Market Structure, Marketing Science, Marketing Science, In Press (PN015).
The software download is given below.
GenAgree
The GenAgree package includes a set a MATLAB source functions for calculating neighborhood agreement between configurations. Functions are included for neighborhood agreement, adjusted neighborhood agreement, and partial neighborhood agreement. The software comes with a freeware common development and distribution license, which can be found at the CDDL-1.0 webpage. If you utilize this software for academic research then please cite the following articles:
France, S.L. (2013). Properties of a General Measure of Configuration Agreement. In B. Lausen, D. Van den Poel, and A. Ultsch (Eds.), Algorithms from and for Nature and Life (pp. 155-163, Springer: Heidelberg. (PN013)
France, S.L., & Carroll, J.D. (2007). Development of an Agreement Metric based upon the RAND Index for the Evaluation of Dimensionality Reduction Techniques, with Applications to Mapping Customer Data. In P. Perner (Ed.), Machine Learning and Data Mining in Pattern Recognition, LNAI, Vol. 4571, Proceedings Conference MLDM 2007, Leipzig/Germany (pp. 499-517), Springer: Heidelberg (acceptance rate 66/258=26%). (PN002)
The software download is given below.
BlockCluster
This is a MATLAB implementation of the Hartigan (1972) block clustering algorithm. It allows splitting by SSE and MSE and incorporates a pseudo-F statistic to help select the number of clusters. The software comes with a freeware common development and distribution license, which can be found at the The software comes with a freeware common development and distribution license, which can be found at the CDDL-1.0 webpage.
The software download is given below.