Packaged: Sun Mar  2 15:26:27 2008; halvorsen

Package: asypow
Title:   Calculate Power  Utilizing Asymptotic Likelihood Ratio Methods
Version: 1.2
Date:    2005-10-06
Author:  S original by Barry W. Brown, James Lovato and Kathy Russel.
R port by Kjetil Halvorsen <kjetil1001@gmail.com>
Description: A set of routines written in the S language
that calculate power and related quantities utilizing asymptotic
likelihood ratio methods.
Maintainer: Kjetil Halvorsen <kjetil1001@gmail.com>
Depends:  R (>= 2.2.0), stats
LazyLoad: TRUE
License:  We place the code that we have written in the public domain.
Code that appeared  in an    ACM  publication  is subject  to    their
algorithms policy:
"Submittal of  an  algorithm    for publication  in   one of   the  ACM
Transactions implies that unrestricted use  of the algorithm within  a
computer is permissible.   General permission  to copy and  distribute
the algorithm without fee is granted provided that the copies  are not
made  or   distributed for  direct   commercial  advantage.    The ACM
copyright notice and the title of the publication and its date appear,
and  notice is given that copying  is by permission of the Association
for Computing Machinery.  To copy otherwise, or to republish, requires
a fee and/or specific permission."
Packaged: Thu Oct  6 19:19:21 2005; halvorsen

Title: Calculate Power Utilizing Asymptotic Likelihood Ratio Methods
Author: S original by Barry W. Brown, James Lovato and Kathy Russel.  R
port by Kjetil Halvorsen <kjetil1001@gmail.com>
Description: A set of routines written in the S language that calculate
power and related quantities utilizing asymptotic likelihood

Author: S original by Barry W. Brown, James Lovato and Kathy Russel.
R port by Kjetil B Halvorsen <kjetil1001@gmail.com>

Description: Provides a collection of psychometric methods to process item metadata
and use target assessment and measurement blueprint constraints to assemble a test form. Currently two automatic
test assembly (ata) approaches are enabled. For example, the weighted (positive) deviations method, wdm(), proposed
by Swanson and Stocking (1993) <doi:10.1177/014662169301700205> was implemented in its full specification allowing
for both item selection as well as test form refinement. The linear constraint programming approach, atalp(), uses the
linear equation solver by Berkelaar et. al (2014) <http://lpsolve.sourceforge.net/5.5/>
to enable a variety of approaches to select items.
Packaged: 2020-04-29 14:54:57 UTC; MChajewski