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maskedcauses

Likelihood Models for Systems with Masked Component Cause of Failure

v0.9.2 · Mar 8, 2026 · GPL (>= 3)

Description

Maximum likelihood estimation for series systems where the component cause of failure is masked. Implements analytical log-likelihood, score, and Hessian functions for exponential, homogeneous Weibull, and heterogeneous Weibull component lifetimes under masked cause conditions (C1, C2, C3). Supports exact, right-censored, left-censored, and interval-censored observations via composable observation functors. Provides random data generation, model fitting, and Fisher information for asymptotic inference. See Lin, Loh, and Bai (1993) <doi:10.1109/24.257799> and Craiu and Reiser (2006) <doi:10.1111/j.1541-0420.2005.00498.x>.

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OK r-devel-linux-x86_64-fedora-clang

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OK r-devel-linux-x86_64-fedora-gcc

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OK r-devel-macos-arm64

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OK r-oldrel-macos-arm64

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OK 6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 9, 2026

Dependency Network

Dependencies Reverse dependencies likelihood.model generics numDeriv maskedcauses

Version History

new 0.9.2 Mar 9, 2026