R: Reliability and Competing Risks Analysis under Hybrid Censoring

# Reliability and Competing Risks Analysis under Hybrid Censoring

## Documentation for package ‘CompRiskRel’ version 0.1.0

- DESCRIPTION file

## Help Pages

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