hirt-0.0.1.0: hirt.cabal

Name:                hirt
Version:             0.0.1.0
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

Flag PL3
    Description: Compile for 3PL model, doesn't support JML yet.
                 Model needs to be selected at compile time.
    Default: False

-- Extra-source-files:

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 && < 0.5,
                    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 && < 0.14,
                    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