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stagelife 0.1.0

Initial release.

stagelife implements the stage life testing (SLT) model of Laumen & Cramer (2019), “Stage life testing”, Naval Research Logistics 66(8):632-647, doi:10.1002/nav.21874 – a two-stage cumulative-exposure life-testing model in which units begin on a baseline stress and, at a fixed change-point, some or all surviving units move to an elevated stress.

• Twelve baseline lifetime distributions (Weibull, Power Lindley, Exponentiated Lindley, Exponentiated Exponential, Marshall-Olkin Exponential, Lomax, Exponentiated Teissier, Log-Logistic, Chen, Log-normal, Gamma, and Power Muth), each with closed-form density, distribution, and quantile functions.
• Three parameter-sharing cases (common, shape1, shape11) for the elevated-stage shape parameter.
• Data generation under the random-withdrawal design, with both fixed-proportion and fixed-count selection rules, via rslt(); the classical simple-step-stress design is the prop_transfer = 1 special case.
• Maximum likelihood estimation via fit_slt(), with standard print(), summary(), coef(), vcov(), logLik(), AIC(), and BIC() methods.
• Asymptotic (Wald) and bootstrap (non-parametric and parametric; percentile, bootstrap-t, and log-scale bootstrap-t) confidence intervals.
• Design-planning tools (slt_prob_stage1()), Kolmogorov-Smirnov goodness-of-fit testing with a parametric-bootstrap correction (slt_gof_ks()), likelihood-ratio tests between nested cases (slt_lrt()), and AIC/BIC model comparison across fits (slt_model_comparison()).
• Diagnostic plots: fitted CDF, survival, P-P, and Q-Q.
• Four bundled real step-stress data sets.

See vignette("stagelife-intro") for a full worked example.

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.
Health stats visible at Monitor.