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NEWS.md
In pridit: Principal Component Analysis Applied to Ridit Scoring
pridit 1.1.0
New features
- Added comprehensive vignette "Introduction to PRIDIT Analysis" demonstrating the methodology with practical examples
- Enhanced documentation with detailed workflow examples
- Added support for healthcare quality assessment and fraud detection use cases
Minor improvements
- Updated package dependencies to support vignettes
- Improved README with CRAN badge
pridit 1.0-4
Changes for CRAN resubmission
- Removed unnecessary single quotes from author names in DESCRIPTION
- Fixed spacing issues in DESCRIPTION field
- All issues from previous submissions have been addressed
pridit 1.0-4
Changes for CRAN resubmission
- Removed unnecessary single quotes from author names in DESCRIPTION
- Fixed spacing issues in DESCRIPTION field
- All issues from previous submissions have been addressed
pridit 1.0-3
Changes for CRAN resubmission
- Fixed invalid LICENSE URI in README.md
- All issues from previous submissions have been addressed
pridit 1.0-2
Changes for CRAN resubmission
- Fixed additional CRAN issues:
- Corrected invalid DOI reference in ridit function documentation
- Changed license specification to computable format (Apache-2.0)
- Removed LICENSE file as requested by CRAN maintainers
pridit 1.0-1
Changes for CRAN resubmission
- Fixed DESCRIPTION file issues identified by CRAN automated checks:
- Added single quotes around technical terms to address spelling NOTEs
- Removed obsolete 'RoxygenType' field
- Changed license specification to reference LICENSE file
- All NOTEs from previous submission (1.0.0) have been addressed
pridit 1.0.0
Initial CRAN release
- Implements ridit scoring as developed by Bross (1958) and modified by Brockett et al. (2002)
- Calculates PRIDIT weights using Principal Component Analysis
- Computes final PRIDIT scores for multivariate analysis of ordinal data
- Comprehensive test suite with 100% function coverage
- Full documentation with working examples for all functions
- Includes sample dataset for testing and demonstration
Try the pridit package in your browser
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pridit documentation built on Aug. 8, 2025, 6:20 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
pridit 1.1.0
New features
- Added comprehensive vignette "Introduction to PRIDIT Analysis" demonstrating the methodology with practical examples
- Enhanced documentation with detailed workflow examples
- Added support for healthcare quality assessment and fraud detection use cases
Minor improvements
- Updated package dependencies to support vignettes
- Improved README with CRAN badge
pridit 1.0-4
Changes for CRAN resubmission
- Removed unnecessary single quotes from author names in DESCRIPTION
- Fixed spacing issues in DESCRIPTION field
- All issues from previous submissions have been addressed
pridit 1.0-4
Changes for CRAN resubmission
- Removed unnecessary single quotes from author names in DESCRIPTION
- Fixed spacing issues in DESCRIPTION field
- All issues from previous submissions have been addressed
pridit 1.0-3
Changes for CRAN resubmission
- Fixed invalid LICENSE URI in README.md
- All issues from previous submissions have been addressed
pridit 1.0-2
Changes for CRAN resubmission
- Fixed additional CRAN issues:
- Corrected invalid DOI reference in ridit function documentation
- Changed license specification to computable format (Apache-2.0)
- Removed LICENSE file as requested by CRAN maintainers
pridit 1.0-1
Changes for CRAN resubmission
- Fixed DESCRIPTION file issues identified by CRAN automated checks:
- Added single quotes around technical terms to address spelling NOTEs
- Removed obsolete 'RoxygenType' field
- Changed license specification to reference LICENSE file
- All NOTEs from previous submission (1.0.0) have been addressed
pridit 1.0.0
Initial CRAN release
- Implements ridit scoring as developed by Bross (1958) and modified by Brockett et al. (2002)
- Calculates PRIDIT weights using Principal Component Analysis
- Computes final PRIDIT scores for multivariate analysis of ordinal data
- Comprehensive test suite with 100% function coverage
- Full documentation with working examples for all functions
- Includes sample dataset for testing and demonstration
Try the pridit package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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