Package index
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kofn() - Create a k-out-of-n system estimation model
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is_kofn() - Test if an object is a kofn model
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ncomponents(<kofn>) - Number of components in a kofn model
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print(<kofn>) - Print method for kofn models
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loglik(<exp_kofn>) - Log-likelihood for exponential k-out-of-n model
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loglik(<wei_kofn>) - Log-likelihood for Weibull k-out-of-n system
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score(<exp_kofn>) - Score function for exponential k-out-of-n model
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score(<wei_kofn>) - Score function for Weibull k-out-of-n system
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hess_loglik(<exp_kofn>) - Hessian of the log-likelihood for exponential k-out-of-n model
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hess_loglik(<wei_kofn>) - Hessian of log-likelihood for Weibull k-out-of-n system
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fit(<exp_kofn>) - MLE fitting for exponential k-out-of-n model
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fit(<wei_kofn>) - Fit Weibull k-out-of-n system model
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rdata(<exp_kofn>) - Random data generation for exponential k-out-of-n model
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rdata(<wei_kofn>) - Generate random data from a Weibull k-out-of-n system
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assumptions(<exp_kofn>) - Assumptions for exponential k-out-of-n model
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assumptions(<wei_kofn>) - Assumptions for Weibull k-out-of-n system model
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observe_exact() - Exact observation scheme (no censoring)
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observe_right_censor() - Right-censoring observation scheme
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observe_left_censor() - Left-censoring observation scheme
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observe_interval_censor() - Interval-censoring observation scheme
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observe_periodic() - Periodic inspection observation scheme
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observe_mixture() - Mixture of observation schemes
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loglik_scheme1() - Log-likelihood for Scheme 1 (periodic inspection) parallel system
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rdata_scheme1() - Generate Scheme 1 (periodic inspection) data
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fit_scheme1() - Fit k-out-of-n system MLE under Scheme 1 (periodic inspection)
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loglik_masked() - Masked k-out-of-n log-likelihood
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rdata_masked() - Generate masked k-out-of-n data
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compare_fisher_info() - Compare Fisher information across observation schemes
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ie_expand() - Inclusion-exclusion expansion of a product of CDFs
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w_j_exact() - Compute w_j(t) = f_j(t) * prod_i != j F_i(t) for exponential components
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w_j_integral() - Closed-form integral of w_j(t) over an interval
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F_sys_exp() - System CDF for exponential parallel systems
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S_sys_exp() - System survival function for exponential parallel systems
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solve_mle() - Default MLE solver for positive parameters
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trunc_log_moment_vec() - Vectorized truncated log-moment of the Weibull distribution
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trunc_pow_moment() - Scalar truncated power moment of the Weibull distribution
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trunc_pow_moment_vec() - Vectorized truncated power moment of the Weibull distribution