NEWS
cIRT 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<double>::from(...).
- Fixed CITATION file to use
c() instead of personList() and bibentry() to
avoid CRAN check notes.
- Updated GitHub Action workflows.
cIRT 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)
cIRT 1.3.1 (2020-03-23)
Changes
- Added
LazyData: true to DESCRIPTION to match with how the data
documentation is called.
(#3)
Documentation
Deployment
- Switched from Travis-CI to GitHub Actions for R.
(#5)
cIRT 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.
cIRT 1.2.1 (2017-04-26)
- Added
src/init.c for R 3.4 compatibility
- Added GitHub project page link
cIRT 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.
cIRT 1.1.0 (2015-12-29)
- Adds two columns to choice matrix:
hard_q_id and easy_q_id.
cIRT 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