EstCRM_1.4 (2015-7-11)
* The previous versions of EstCRMitem function only estimated item parameters using Shojima's simplified EM algorithm.
Now, a new argument is added to the function such that the user can also choose Wang & Zeng's algorithm when estimating item parameters.
In addition, a new argument is added for the Wang & Zeng algorithm. If BFGS is TRUE, Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm
is used to approximate the Hessian at each cycle. If BFGS is FALSE, Hessian is directly computed at each cycle.
* The EstCRMitem item function is updated such that it returns the standard error of the item parameter estimates.
EstCRM_1.3 (2012-07-28)
* Small changes are added to printing the EstCRMitem output.
EstCRM_1.2 (2012-02-2)
* A new function bootCRM() is added to estimate the standard errors of item parameter estimates using non-parameteric bootstrap sampling
EstCRM_1.1 (2011-06-17)
* DESCRIPTION and Rd files are updated
* A new dataset (SelfEff) and sample R codes to analyze the new dataset are added
EstCRM_1.0 (2011-06-15)
* initial release on CRAN