Function reference • wei.series.md.c1.c2.c3

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`alex_weibull_series`	Base Series System for Simulation Study
`conditional_masked_cause()`	Conditional candidate set sampler when component cause of failure is known and the system lifetime is observed. (UNTESTED)
`dwei_series()`	pdf for weibull series
`generate_guo_weibull_table_2_data()`	Generate data like that from the Guo et al. model, table 2.
`guo_weibull_series_md`	Weibull series MLE of `guo_weibull_series_md`
`guo_weibull_series_table_2`	Example Data for a Series System (Table 2, Guo 2013)
`hazard_wei()`	Weibull Series System Hazard Function
`hazard_wei_series()`	Hazard function for weibull series.
`hessian_wei_series_md_c1_c2_c3()`	Generates a hessian of the log-likelihood function (negative of the observed FIM) for a Weibull series system with respect to parameter `theta` (shape, scale) for masked data with candidate sets that satisfy conditions C1, C2, and C3 and right-censored data.
`loglik_wei_series_md_c1_c2_c3()`	Generates a log-likelihood function for a Weibull series system with respect to parameter `theta` (shape, scale) for masked data with candidate sets that satisfy conditions C1, C2, and C3 and right-censored data.
`md_bernoulli_cand_c1_c2_c3()`	Masked Data Model for Series Systems with Component Cause of Failure
`md_bernoulli_cand_c1_c2_c3_identifiable()`	Check if a masked data frame is identifiable. (UNTESTED)
`md_cand_sampler()`	Random sampler for candidate sets given a data frame.
`md_decorate_component_cause_k()`	Add latent component cause of failure to a masked data frame
`md_sample_candidates()`	Empirical candidate set sampler when component cause of failure is known. (UNTESTED)
`md_series_lifetime_right_censoring()`	Generates right-censored system failure times and right-censoring indicators for a series system with the given data frame of component lifetimes.
`mle_grad_wei_series_md_c1_c2_c3()`	Gradient ascent MLE solver for Weibull series model with masked component cause of failure with observation of exact system lifetime and right censoring.
`mle_lbfgsb_wei_series_md_c1_c2_c3()`	L-BFGS-B MLE solver for the Weibull series model with masked component cause of failure with observation of exact system lifetime and right censoring.
`mle_nelder_wei_series_md_c1_c2_c3()`	Nelder-Mead MLE solver for the Weibull series model with masked component cause of failure with observation of exact system lifetime and right censoring.
`mle_newton_wei_series_md_c1_c2_c3()`	Newton-raphson MLE solver for Weibull series model with masked component cause of failure with observation of exact system lifetime and right censoring.
`mle_sann_wei_series_md_c1_c2_c3()`	Simulated annealing MLE solver for the Weibull series model with masked component cause of failure with observation of exact system lifetime and right censoring.
`pwei_series()`	The cumulative distribution function for Weibull series
`qwei_series()`	Quantile function (inverse of the cdf). By definition, the quantile p * 100% for a strictly monotonically increasing cdf F is the value t that satisfies `F(t) - p = 0`. We solve for t using newton's method.
`rwei_series()`	Sampler for weibull series.
`score_wei_series_md_c1_c2_c3()`	Cmputes the score function (gradient of the log-likelihood function) for a Weibull series system with respect to parameter `theta` (shape, scale) for masked data with candidate sets that satisfy conditions C1, C2, and C3 and right-censored data.
`score_wei_series_md_c1_c2_c3_slow()`	Slowly computes the score function (gradient of the log-likelihood function) for a Weibull series system with respect to parameter `theta` (shape, scale) for masked data with candidate sets that satisfy conditions C1, C2, and C3 and right-censored data. This is simple loop-based implementation of the score function, which is easier to verify the correctness of.
`surv_wei_series()`	Survival function for weibull series
`wei_mttf()`	Mean-Time-To-Failure for Weibull
`wei_series_cause()`	The component cause of failure for the Weibull series distribution.
`wei_series_mttf()`	The mean time to failure for the Weibull series system.

Reference

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