Recent Releases of exametrika
exametrika - Version 1.6.0
exametrika 1.6.0 on Jul 4th, 2025
- Biculustring.norminal is available!
- Biclustering.ordinal is available!
- New function GridSerch() for grid search optimization of model parameters
- Bugfix: Fix output typos(class/rank)
- Added duplicate ID validation to dataFormat()
- Bugfix: Fix ID column detection in dataFormat()
- Bugfix: Fix stanine division error when unable to split data
- R
Published by kosugitti 8 months ago
exametrika - Version 1.5
exametrika 1.5.0 on March 5, 2025
- New function GRM is available!
exametrika 1.4.4 on March 3, 2025
- In Exametrika 1.4.1, bug fixes were made.
- In 1.4.2, it became possible to calculate polychoric correlation and polyserial correlation.
- In 1.4.3, item analysis for polytomous items became available.
- In 1.4.4, we renamed "ICC" to "IRF," although they refer to the same concept (Item Characteristic Curves and Item Response Functions are interchangeable terms).
The function will interpret "ICC" input as "IRF" automatically. Additionally, Test Response Function (TRF) output was also made available.
exametrika 1.4.0 on Feb 25, 2025
- New function LRA() now supports rated data
- Hex icon available
** exametrika 1.3.0 on Feb 11, 2025**
Added implementation of latent rank model for ordinal scale data
New function LRA() now supports ordinal response data
Added visualization methods for ordinal scale analysis:
Score frequency with rank thresholds (ScoreFreq)
Score-rank probability heatmap (ScoreRank)
Item category boundary reference (ICBR)
- Item category response profile (ICRP)
- Bug fixes and improvements
- Standardized terminology: unified the usage of "class" and "rank" throughout the package
- Various minor bug fixes
- R
Published by kosugitti about 1 year ago
exametrika - Version 1.2
Release Notes
Major Changes
- Enhanced data structure to support polytomous data
- Redesigned internal data representation for handling multiple response categories
- Updated relevant functions to work with the new data structure
- Maintained backward compatibility with existing dichotomous data
Improvements
- Improved computational stability
- Enhanced numerical precision in parameter estimation
- Optimized convergence criteria
- Strengthened robustness of iterative procedures
Bug Fixes
- Fixed several issues affecting calculation accuracy
- Resolved memory usage inefficiencies
- Corrected minor documentation inconsistencies
- R
Published by kosugitti about 1 year ago
exametrika - Version1.1
Ready for polytomous response analysis Now available on CRAN!
- R
Published by kosugitti over 1 year ago
exametrika - Version 1.0: Initial Release
Version 1.0: Comprehensive Implementation of Test Data Engineering Models.
This release reflects all models included in Shojima (2022)'s TestDataEngineering. The numerical data provided by Shojima in Mathematica has been referenced, and accuracy up to three decimal places has been verified.
Reference: Shojima, K. 2022 Test Data Engeneering: Latent Rank Analysis, Biclustering, and Bayesian Network, Splinger.
Shojima Original Cite: Accompanying Website for Test Data Engineering
- R
Published by kosugitti over 1 year ago