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hIRT 0.5.0

• The computational core is now written in C++ (Rcpp/RcppArmadillo): the E-step, the item-level M-step (a Newton solver for the weighted cumulative logit model, replacing rms::lrm.fit() and glm.fit() inside the EM loop), the level-II variance regression, and the scores used for standard errors. Estimates, standard errors, and log-likelihoods agree with version 0.4.0 to numerical precision, and fits are roughly 10 to 100 times faster.
• The E-step is computed on the log scale, so it no longer underflows when a respondent answers many items.
• hgrmDIF() pools respondents who share the same DIF covariate pattern in the M-step, which makes it much faster when x0 is categorical.

hIRT 0.4.0

• Removed dependency on the archived package pryr; function composition is now done in base R.
• Added hgrmDIF() for differential item functioning in the graded response model.

hIRT 0.3.1

• fixed bug in README.md

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.