Dear R-users,
I'd like to announce the release of the new version of package 'ltm'
for analyzing multivariate dichotomous and polytomous data under the
Item Response Theory approach.
New features:
* function tpm() (along with supporting methods, i.e., anova, plot,
margins, factor.scores, etc.) has been added for fitting Birnbaum's
Three Parameter Model.
* grm() can now handle mix of dichotomous and polytomous items.
* descript() returns more output, especially for dichotomous manifest
variables.
For more details check the CHANGES file. Future plans include
development of functions for goodness-of-fit, and the Partial Credit
Model.
Any kind of feedback (questions, suggestions, bug-reports, etc.) is
more than welcome.
Best,
Dimitris
----
Dimitris Rizopoulos
Ph.D. Student
Biostatistical Centre
School of Public Health
Catholic University of Leuven
Address: Kapucijnenvoer 35, Leuven, Belgium
Tel: +32/(0)16/336899
Fax: +32/(0)16/337015
Web: http://med.kuleuven.be/biostat/
http://www.student.kuleuven.be/~m0390867/dimitris.htm
Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm
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