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exametrika 1.6.3
- Major performance enhancement for GRM (Graded Response Model)
- Replaced R implementation with high-performance C++ code using
Rcpp
- Implemented analytical gradient computation for significant speed
improvements
- Achieved 5-6x faster convergence compared to numerical
differentiation
- Maintains identical mathematical accuracy to previous
implementation
- Full compatibility with existing GRM() function interface
- Added
converge
variable to all EM-based functions to
indicate algorithm convergence status
- Functions affected: Biclustering(), LCA(), LRA(), and related
methods
- Returns TRUE if converged within maxiter iterations, FALSE
otherwise
- Displays convergence warning messages when maxiter is reached
- Enhanced GridSearch() function with convergence handling
- Automatically excludes non-converged results from optimization
- Displays warning messages for parameter combinations that failed to
converge
- Returns list of failed settings in output
- Terminates with error message if all parameter combinations fail to
converge
- Improved numerical stability in Biclustering()
- Implemented conditional pmax() application to avoid unnecessary
log-likelihood inflation
- Applied numerical correction only when NaN/Inf values are
detected
- High-performance polychoric correlation computation
- Implemented C++ acceleration for polychoric correlation
calculations
- Achieved significant speed improvements over R-based
implementation
- Improved Array-type plot visualization with enhanced color palette
- Replaced dull default colors with vibrant, high-contrast color
palette
- Added colorblind-friendly color scheme for better accessibility
- Binary data (2 categories) now uses black and white for optimal
contrast
- Multi-category data uses enhanced colorblind-accessible palette
exametrika 1.6.2
- Biclustering: Fixed floating-point arithmetic errors causing NaN
results
exametrika 1.6.1 on Aug 26,
2025
- Biclustering: Fixed improper handling of missing values
exametrika 1.6.0 on Aug 12,
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
exameterika 1.5.2 on March
29, 2025
- Bugfix: Fix output typos(TestStatisticsFunction,GRMs)
exameterika 1.5.1 on March 8,
2025
- Field analysis for Biclustering is included in the Biclustering()
function
- Class/Rank Reference Vector plot is now available.
- Bug Fix for polychoric correlations
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
Exametrika 1.2.0 on Jan 30,
2025.
- Improved numerical stability for model estimation
- Bug fixes for log-likelihood calculation
Exametrika 1.1.0 on Oct 30,
2024.
- Added support for polytomous response data
Exametrika 1.0.2 on Aug 17,
2024.
Exametrika 1.0.1 on July 31,
2024.
- Bug fix for Item Total Correlation
- Bug fix for Fit indices
- New function called ItemStatistics
Exametrika 1.0.0 on June 9,
2024.
Exametrika 0.11.5 on Mar 30,
2024.
- Bug fix for plot labels for TRP/LRD
Exametrika 0.11.4 on Jan 27,
2024.
- Bug fix for LCD/LRD for IRM
Exametrika 0.11.3 on
December 15, 2023.
- Bug fix for item information curve
Exametrika 0.11.2 on
October 27, 2023.
Exametrika 0.11.1 on
October 27, 2023.
- All model tested by testthat environment
Exametrika 0.11.0 on
October 26, 2023.
Exametrika 0.10.0 on
October 18, 2023.
Exametrika 0.9.0 on
October 17, 2023.
- Added Structure Learning for LDLRA using PBIL
- Added LDLRA model
Exametrika 0.8.1 on
October 10, 2023.
- Added Structure Learning for BMN with simple GA and PBIL model
Exametrika 0.8.0 on October
4, 2023.
Exametrika 0.7.0 on October
4, 2023.
Exametrika 0.6.1
- Added Q3 matrix output to the IRT function
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.