Version 1.0-0 of DAKS (Data Analysis and Knowledge Spaces) has been released to CRAN.
Knowledge space theory is a recent psychometric test theory based on combinatorial mathematical structures (order and lattice theory). Solvability dependencies between dichotomous test items play an important role in knowledge space theory. Utilizing hypothesized dependencies between items, knowledge space theory has been successfully applied for the computerized, adaptive assessment and training of knowledge. The package DAKS implements inductive item tree analysis methods for deriving surmise relations from binary data. It provides functions for computing population and estimated asymptotic variances of the used fit measures, and for switching between test item and knowledge state representations. Other features are a Hasse diagram drawing device, a data simulation tool based on a finite mixture latent variable model, and a function for computing response pattern and knowledge state frequencies. Best regards, Anatol Sargin Ali Uenlue -- Department of Computer-Oriented Statistics and Data Analysis Institute of Mathematics University of Augsburg http://stats.math.uni-augsburg.de/ [[alternative HTML version deleted]] _______________________________________________ R-packages mailing list r-packa...@r-project.org https://stat.ethz.ch/mailman/listinfo/r-packages ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
