Changes in version 1.3.3 (2025-09-27) Changes - Added explicit dependencies on R (>= 4.3.0), Rcpp (>= 1.1.0), and RcppArmadillo (>= 15.0.2-2) - Removed CXX11 from src/Makevars and src/Makevars.win to avoid potential compilation issues with newer versions of Armadillo through RcppArmadillo. - Switched README.Rmd to README.qmd to use Quarto for rendering. - Addressed deprecation warning of "replace conv_to<...>::from(X) with as_scalar(X)" in src/project_source.cpp by using arma::as_scalar(...) instead of conv_to::from(...). - Fixed CITATION file to use c() instead of personList() and bibentry() to avoid CRAN check notes. - Updated GitHub Action workflows. Changes in version 1.3.2 (2022-02-21) Changes - Fix use of 'middle' argument by using 'given' in person(). (#8) - Bump requirements to using R 4.0.0 , Rcpp 1.0.8, and RcppArmadillo 10.8.1 or above. (#8) Changes in version 1.3.1 (2020-03-23) Changes - Added LazyData: true to DESCRIPTION to match with how the data documentation is called. (#3) Documentation - Added a pkgdown website that deploys to https://tmsalab.github.io/cIRT/. (#3) Deployment - Switched from Travis-CI to GitHub Actions for R. (#5) Changes in version 1.3.0 (2019-01-24) Changes - Updated package dependencies - Enabled C++11 and OpenMP. - Switched to allowing Rcpp to handle native registration Bugfix - Addressed issues in the choice generation procedure. Documentation - Improved in-line documentation. - Added Authors' ORCIDs to DESCRIPTION. Testing - Enabled TMSA Lab's configuration for Travis-CI. Changes in version 1.2.1 (2017-04-26) - Added src/init.c for R 3.4 compatibility - Added GitHub project page link Changes in version 1.2.0 (2016-04-13) - Added two vignettes that cover the model estimation and simulation results in the package. - Added a NEWS.md file to track changes to the package. Changes in version 1.1.0 (2015-12-29) - Adds two columns to choice matrix: hard_q_id and easy_q_id. Changes in version 1.0.0 (2015-12-07) Modeling Framework - Implementation of the hierarchical framework described in "A Hierarchical Model for Accuracy and Choice on Standardized Tests" - Specifically, a choice inclusive Probit HLM and a Two Parameter Ogive Model. C++ Functions - Random Number Generation for the following distributions: Wishart, Inverse Wishart, and Multivariate Normal - Matrix Centering - Direct Sum calculation Data - Student Performance on Revised Purdue Spatial Visualization Test (Revised PSVT:R) by Yoon, 2011 in trial_matrix - The choices students made among items presented to them in choice_matrix - The end payout results for students based on their choices in payout_matrix - One additional data set exists containing the student's sex response in survey_data