Bayesian Point Estimation Using Lindley's Approximation Under
Censoring Schemes
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Documentation for package ‘UniLindleyApprox’ version 0.1.0
Help Pages
| UniLindleyApprox-package | UniLindleyApprox: Bayesian Point Estimation Using Lindley's Approximation |
| AIC.lindleyfit | AIC Method for lindleyfit Objects |
| AICc | AIC Method for lindleyfit Objects Corrected Akaike Information Criterion (AICc) |
| AICc.lindleyfit | AICc Method for lindleyfit Objects |
| autoplot.lindleyfit | Autoplot Method for lindleyfit Objects |
| bayes_estimate | Compute Bayes Estimate Under Specified Loss Function |
| BIC.lindleyfit | BIC Method for lindleyfit Objects |
| CAIC | Consistent Akaike Information Criterion (CAIC) |
| CAIC.lindleyfit | CAIC Method for lindleyfit Objects |
| coef.lindleyfit | Coefficient Method for lindleyfit Objects |
| compare_predictions | Compare Predictions |
| diagnostics | Extract Diagnostic Information |
| diagnostics.lindleyfit | Diagnostics Method for lindleyfit Objects |
| fitted.lindleyfit | Fitted Method for lindleyfit Objects |
| gof_ad | Anderson-Darling Statistic |
| gof_chisq | Chi-Square Goodness-of-Fit Statistic |
| gof_cvm | Cramér-von Mises Statistic |
| gof_ks | Kolmogorov-Smirnov Statistic |
| gof_stats | Goodness-of-Fit Statistics |
| gof_watson | Watson Statistic |
| HQIC | Hannan-Quinn Information Criterion (HQIC) |
| HQIC.lindleyfit | HQIC Method for lindleyfit Objects |
| independent_prior | Create Independent Product Prior |
| KIC | Kullback Information Criterion (KIC) |
| KIC.lindleyfit | KIC Method for lindleyfit Objects |
| lindley.control | Control Parameters for Lindley Approximation |
| lindley_fit | Bayesian Estimation Using Lindley's Approximation |
| logLik.lindleyfit | Log-Likelihood Method for lindleyfit Objects |
| log_priors | Prior Distributions for Bayesian Estimation |
| log_prior_beta | Prior Distributions for Bayesian Estimation |
| log_prior_exponential | Prior Distributions for Bayesian Estimation |
| log_prior_gamma | Prior Distributions for Bayesian Estimation |
| log_prior_invgamma | Prior Distributions for Bayesian Estimation |
| log_prior_jeffreys | Prior Distributions for Bayesian Estimation |
| log_prior_lognormal | Prior Distributions for Bayesian Estimation |
| log_prior_mvn | Create Multivariate Normal Prior |
| log_prior_normal | Prior Distributions for Bayesian Estimation |
| log_prior_uniform | Prior Distributions for Bayesian Estimation |
| log_prior_weibull | Prior Distributions for Bayesian Estimation |
| loss_elf | Loss Functions for Bayesian Estimation |
| loss_functions | Loss Functions for Bayesian Estimation |
| loss_gelf | Loss Functions for Bayesian Estimation |
| loss_kloss | Loss Functions for Bayesian Estimation |
| loss_linex | Loss Functions for Bayesian Estimation |
| loss_mqself | Loss Functions for Bayesian Estimation |
| loss_plf | Loss Functions for Bayesian Estimation |
| loss_self | Loss Functions for Bayesian Estimation |
| loss_wself | Loss Functions for Bayesian Estimation |
| mae | Mean Absolute Error |
| mse | Mean Squared Error |
| plot.lindleyfit | Plot Method for lindleyfit Objects |
| plots | Visualization Functions for UniLindleyApprox |
| plot_fitted | Plot Fitted Distribution |
| plot_likelihood_surface | Plot Likelihood Surface |
| plot_posterior_surface | Plot Posterior Surface |
| plot_prior_posterior | Plot Prior vs Posterior |
| plot_profile | Plot Log-Likelihood Profile |
| plot_residuals | Plot Residuals |
| posterior_expectation | Compute Posterior Expectation of Arbitrary Function |
| posterior_mean | Compute Posterior Mean Approximation |
| posterior_median | Compute Posterior Median Approximation |
| predict.lindleyfit | Predict Method for lindleyfit Objects |
| prediction | Prediction Functions for UniLindleyApprox |
| prediction_summary | Prediction Summary |
| predict_cumhaz | Predict Cumulative Hazard |
| predict_failure_prob | Predict Failure Probability |
| predict_hazard | Predict Hazard Function |
| predict_interval | Prediction Intervals (Based on Quantiles) |
| predict_median | Predict Median Time to Failure |
| predict_mttf | Predict Mean Time to Failure |
| predict_new | Predict for New Data |
| predict_quantiles | Predict Quantiles |
| predict_remaining_lifetime | Predict Remaining Lifetime |
| predict_survival | Predict Survival Probabilities |
| predict_survival_prob | Predict Probability of Survival to Time T |
| print.lindleyfit | Print Method for lindleyfit Objects |
| residuals.lindleyfit | Residuals Method for lindleyfit Objects |
| rmse | Root Mean Squared Error |
| simulate_complete | Simulate Complete Data |
| simulate_hybrid | Simulate Hybrid Censored Data |
| simulate_interval | Simulate Interval Censored Data |
| simulate_left | Simulate Left Censored Data |
| simulate_left_truncation | Simulate Left Truncated Data |
| simulate_middle | Simulate Middle Censored Data |
| simulate_progressive | Simulate Progressive Type-II Censored Data |
| simulate_random | Simulate Random Censored Data |
| simulate_right | Simulate Right Censored Data |
| simulate_right_truncation | Simulate Right Truncated Data |
| simulate_type1 | Simulate Type-I Censored Data |
| simulate_type2 | Simulate Type-II Censored Data |
| simulation | Simulation Utilities for Censoring Schemes |
| simulation_study | Simulation Study for Bayesian Estimators |
| summary.lindleyfit | Summary Method for lindleyfit Objects |
| UniLindleyApprox | UniLindleyApprox: Bayesian Point Estimation Using Lindley's Approximation |
| utilities | Utility Functions for UniLindleyApprox |