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UniLindleyApprox News

Version 0.1.0 (2024-07-19)

Initial Release

• Implemented core Lindley approximation engine for Bayesian point estimation
• Added support for 23 censoring and truncation schemes
• Implemented 8 loss functions for Bayes estimation
• Added automatic numerical derivative computation (first, second, third-order)
• Implemented comprehensive S3 methods for lindleyfit objects
• Added goodness-of-fit statistics (KS, AD, CvM, Watson, Chi-square)
• Implemented residual analysis (Cox-Snell, Martingale, Deviance, Pearson, Generalized, Randomized quantile)
• Added visualization functions (posterior surfaces, likelihood profiles, QQ/PP plots, residual plots)
• Implemented prediction utilities (quantiles, survival, hazard, cumulative hazard)
• Added simulation utilities for all censoring schemes
• Implemented model selection criteria (AIC, AICc, BIC, HQIC, CAIC, KIC)
• Added support for multiple prior distributions (Gamma, Beta, Normal, Uniform, Lognormal, Inverse Gamma, Weibull, Exponential, Jeffreys)
• Implemented modular, extensible architecture for adding new censoring schemes
• Added comprehensive error handling and validation
• Created roxygen2 documentation for all functions

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.