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maskedcauses

Likelihood Models for Systems with Masked Component Cause of Failure

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>.

Versions across snapshots

VersionRepositoryFileSize
0.9.3 rolling linux/jammy R-4.5 maskedcauses_0.9.3.tar.gz 1.2 MiB
0.9.3 rolling linux/noble R-4.5 maskedcauses_0.9.3.tar.gz 1.2 MiB
0.9.3 rolling source/ R- maskedcauses_0.9.3.tar.gz 2.0 MiB
0.9.3 latest linux/jammy R-4.5 maskedcauses_0.9.3.tar.gz 1.2 MiB
0.9.3 latest linux/noble R-4.5 maskedcauses_0.9.3.tar.gz 1.2 MiB
0.9.3 latest source/ R- maskedcauses_0.9.3.tar.gz 2.0 MiB
0.9.3 2026-04-26 source/ R- maskedcauses_0.9.3.tar.gz 2.0 MiB
0.9.3 2026-04-23 source/ R- maskedcauses_0.9.3.tar.gz 2.0 MiB
0.9.3 2026-04-09 windows/windows R-4.5 maskedcauses_0.9.3.zip 1.2 MiB

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