Name: hirt Version: 0.0.1.1 Synopsis: Calculates IRT 2PL and 3PL models Description: Program for fitting Item Response Theory (IRT) two (2PL) and three (3PL) parameter logistic models. . Implements Joint Maximum Likelihood (JML) algorithm (currently only supported in 2PL model) and via generic function optimization using L-BFGS-B (both 2PL and 3PL). . Calculates item parameter and subject ability estimates and log likelihood statistics. For contestant abilities supports error estimates via Fisher information, and via two algorithms of the author, namely bootstrap and Bayes a posteriori probability. . Supports outputting coordinate list for a plot of Bayes a posteriori probability of individual subject abilities. . Part of a masters thesis of the author "http://people.ksp.sk/~ivan/irt/ebook.pdf" . . As a side note, it is currently a lacking proper documentation and user friendliness. Homepage: https://people.ksp.sk/~ivan/hirt License: BSD3 License-file: LICENSE Author: Ivan Labáth Maintainer: ivan@hirt.ksp.sk Category: Math Build-type: Simple Cabal-version: >=1.6 Extra-source-files: ChangeLog.md demo.sh Flag PL3 Description: Compile for 3PL model, doesn't support JML yet. Model needs to be selected at compile time. Default: False Executable hirt Main-is: Main.hs if flag(PL3) cpp-options: -DPL3 Build-depends: base >= 4 && < 5, vector >= 0.9 && < 0.10, containers >= 0.4 && < 0.6, text >= 0.11.1.13 && < 0.12, attoparsec >= 0.10.1 && < 0.11, text-format >= 0.3.0.7 && < 0.4, csv >= 0.1.2 && < 0.2, hmatrix >= 0.13.1.0 && < 0.15, numeric-extras >= 0.0.2.2 && < 0.1, cmdargs >= 0.9.3 && < 0.10, random >= 1.0.1.1 && < 1.1, statistics >= 0.10 && < 0.11, mwc-random >= 0.12 && < 0.13, vector-space >= 0.8 && < 0.9, hlbfgsb >= 0.0.1.0 && < 0.1.0.0 Other-modules: Algo Args Driver Engine Input Irt Likelihood Listable Main Output Parse Setup Statistics Types source-repository head type: darcs location: http://people.ksp.sk/~ivan/hirt source-repository this type: darcs location: http://people.ksp.sk/~ivan/hirt tag: 0.0.1.0