Reliability and Competing Risks Analysis under Hybrid Censoring

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Documentation for package ‘CompRiskRel’ version 0.1.0

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bayesian_sampling_plan_exp Bayesian Reliability Acceptance Sampling Plan for Exponential lifetimes (10.5.3)
bayes_gibbs_censored Bayesian Inference via Gibbs Sampling for Censored Data Models
bayes_mh_censored Bayesian Inference via Metropolis-Hastings MCMC Algorithm
gen_competing_risks Generate Data for Competing Risks Analysis
gen_gen_prog_hybrid Generate Data under Generalized Progressive Hybrid Censoring Scheme
gen_stress_strength Generate Data for Stress-Strength Reliability Models
gen_type1_hybrid Generate Data under Type-I Hybrid Censoring Scheme
gen_type2_hybrid Generate Data under Type-II Hybrid Censoring Scheme
importance_sampling_censored Importance Sampling for Posterior Estimation
lindley_approx_censored Lindley Asymptotic Approximation for Posterior Expectations
mle_competing_risks Maximum Likelihood Estimation for Competing Risks Analysis
mle_gen_prog_hybrid Maximum Likelihood Estimation under Generalized Progressive Hybrid Censoring
mle_type1_hybrid Maximum Likelihood Estimation under Type-I Hybrid Censoring
mle_type2_hybrid Maximum Likelihood Estimation under Type-II Hybrid Censoring
optimal_design_hybrid Optimal Design Selection for Hybrid Censoring Schemes
plot.comp_risk_rel_data Plot Method for Objects of Class comp_risk_rel_data
plot_diagnostics Diagnostic Plots for Censored Data Schemes
print.bayes_fit Print Method for Bayesian Fit Objects
print.mle_fit Print Method for MLE Fit Objects
print.sampling_plan Print Method for Sampling Plan Objects
sampling_plan_exponential Reliability Acceptance Sampling Plan for Exponential Distribution (10.5.1)
sampling_plan_weibull Reliability Acceptance Sampling Plan for Weibull Distribution (10.5.2)
stress_strength_rel Stress-Strength Reliability Estimation R = P(X < Y)
summary.bayes_fit Summary Method for Bayesian Fit Objects
summary.mle_fit Summary Method for MLE Fit Objects