to simulate from IRT models have a look at function rmvlogis() from
package ltm.
I hope it helps.
Best,
Dimitris
On 3/3/2010 6:05 PM, Stuart Luppescu wrote:
On Wed, 2010-03-03 at 09:45 -0600, Helen Lisman wrote:
hello R,
This is about simulation in psychomtrics in IRT in R. I want to simulate b
parameters(item difficulty) with moments of fixed values of mean, st.d,
skewness and kurtosis. Is there any specific IRT package in R with those
functions to control those moments? I have seen other programs that can
control mean and st.d but not skewness and kurtosis.
Interesting. I wrote a program in C to simulate item responses according
to the Rasch model, as well as the 2PL and 3PL models. I used either
normal or uniform distribution of the person and item parameters. I'm
assuming that you want to manipulate the skewness and kurtosis of the
generated item and/or person parameters, and then produce simulated item
responses. I don't know how you would manipulate the skewness and
kurtosis. I searched around and rnorm() doesn't include arguments for
skewness and kurtosis. kurtosis() functions exist in e1071 and
fUtilities, but they only return the kurtosis of the input data. Let me
know if you find something.
--
Dimitris Rizopoulos
Assistant Professor
Department of Biostatistics
Erasmus University Medical Center
Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands
Tel: +31/(0)10/7043478
Fax: +31/(0)10/7043014
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