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cIRT 1.3.3

Changes

• Added explicit dependencies on R (>= 4.3.0), Rcpp (>= 1.1.0),and RcppArmadillo (>= 15.0.2-2)
• Removed CXX11 fromsrc/Makevars andsrc/Makevars.win to avoid potential compilation issues withnewer 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)" insrc/project_source.cpp by usingarma::as_scalar(...) instead ofconv_to<double>::from(...).
• Fixed CITATION file to usec() instead ofpersonList() andbibentry() to avoid CRANcheck notes.
• Updated GitHub Action workflows.

cIRT 1.3.2

Changes

• Fix use of'middle' argument by using'given' inperson(). (#8)
• Bump requirements to using R 4.0.0 , Rcpp 1.0.8, and RcppArmadillo10.8.1 or above. (#8)

cIRT 1.3.1

Changes

• AddedLazyData: true toDESCRIPTION tomatch with how the data documentation is called. (#3)

Documentation

• Added apkgdown website that deploys tohttps://tmsalab.github.io/cIRT/. (#3)

Deployment

• Switched from Travis-CI to GitHub Actions for R. (#5)

cIRT 1.3.0

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 toDESCRIPTION.

Testing

• Enabled TMSA Lab’s configuration for Travis-CI.

cIRT 1.2.1

• Addedsrc/init.c for R 3.4 compatibility
• Added GitHub project page link

cIRT 1.2.0

• Added two vignettes that cover the model estimation and simulationresults in the package.
• Added aNEWS.md file to track changes to thepackage.

cIRT 1.1.0

• Adds two columns to choice matrix:hard_q_id andeasy_q_id.

cIRT 1.0.0

Modeling Framework

• Implementation of the hierarchical framework described in “AHierarchical Model for Accuracy and Choice on Standardized Tests”
• Specifically, a choice inclusive Probit HLM and a Two ParameterOgive 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 intrial_matrix
• The choices students made among items presented to them inchoice_matrix
• The end payout results for students based on their choices inpayout_matrix
• One additional data set exists containing the student’s sex responseinsurvey_data