MLE

Masked Failure Data: Looking Back, Looking Forward

A retrospective on three years of building R packages and writing papers for masked series system reliability, and what comes next.

maskedcauses: Maximum Likelihood Estimation for Masked Series System Failures

The maskedcauses R package for MLE in series systems with masked component failures, built on composable likelihood contributions and validated through simulation.

compositional.mle: SICP-Inspired Optimization

An R package where optimization solvers are first-class functions that compose through chaining, racing, and restarts.

symlik: Symbolic Likelihood Models in Python

Define statistical models symbolically and automatically derive score functions, Hessians, and Fisher information. No numerical approximation.

Reliability Estimation in Series Systems: Maximum Likelihood Techniques for Right-Censored and Masked Failure Data