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.
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The maskedcauses R package for MLE in series systems with masked component failures, built on composable likelihood contributions and validated through simulation.
Closed-form MLEs and Fisher information for exponential series systems with masked failure data. No numerical optimization required.
My master's project on maximum likelihood estimation for series systems with right-censored and masked failure data.
Extending masked failure data analysis when the standard C1-C2-C3 masking conditions are violated.
Observation functors in maskedcauses: composable functions that separate the data-generating process from the observation mechanism, enabling mixed-censoring simulation and verified Monte Carlo studies.
A retrospective on three years of building R packages and writing papers for masked series system reliability, and what comes next.