A General Framework for Bayesian Estimation Using the
'Tierney'-'Kadane' Approximation
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Documentation for package ‘TKApprox’ version 0.1.0
Help Pages
| AIC.tkfit | AIC Method for tkfit Objects |
| BIC.tkfit | BIC Method for tkfit Objects |
| CAIC | Compute CAIC (Consistent AIC) |
| CAIC.tkfit | Compute CAIC (Consistent AIC) |
| coef.tkfit | Coefficients Method for tkfit Objects |
| DIC | Compute DIC (Deviance Information Criterion) Approximation |
| DIC.tkfit | Compute DIC (Deviance Information Criterion) Approximation |
| eval_logposterior | Evaluate the Log-Posterior at Given Parameters |
| expected_logposterior | Compute Expected Log-Posterior |
| expected_logposterior.tkfit | Compute Expected Log-Posterior |
| HQIC | Compute HQIC (Hannan-Quinn Information Criterion) |
| HQIC.tkfit | Compute HQIC (Hannan-Quinn Information Criterion) |
| likelihood | Likelihood Construction for Censored Data |
| logLik.tkfit | Log-Likelihood Method for tkfit Objects |
| loglik_complete | Complete (Uncensored) Data Log-Likelihood |
| loglik_dispatcher | Generic Likelihood Dispatcher |
| loglik_doubly_censored | Doubly Censored Data Log-Likelihood |
| loglik_hybrid_censored | Hybrid Censored Data Log-Likelihood |
| loglik_interval_censored | Interval-Censored Data Log-Likelihood |
| loglik_left_censored | Left-Censored Data Log-Likelihood |
| loglik_progressive_type2_censored | Progressive Type-II Censored Data Log-Likelihood |
| loglik_right_censored | Right-Censored Data Log-Likelihood |
| loglik_type1_censored | Type-I Censored Data Log-Likelihood |
| loglik_type2_censored | Type-II Censored Data Log-Likelihood |
| logprior_beta | Prior Distribution Functions |
| logprior_dispatcher | Generic Prior Function Dispatcher |
| logprior_exponential | Prior Distribution Functions |
| logprior_gamma | Prior Distribution Functions |
| logprior_independent | Independent Priors for Multiple Parameters |
| logprior_invgamma | Prior Distribution Functions |
| logprior_lognormal | Prior Distribution Functions |
| logprior_normal | Prior Distribution Functions |
| logprior_uniform | Prior Distribution Functions |
| logprior_weibull | Prior Distribution Functions |
| model_comparison | Model Comparison Statistics for tkfit Objects |
| model_comparison_table | Comprehensive Model Comparison Table |
| neglogLik | Compute Negative Log-Likelihood |
| neglogLik.tkfit | Compute Negative Log-Likelihood |
| plot.tkfit | Plot Method for tkfit Objects |
| plot.tksensitivity | Plot Method for tksensitivity Objects |
| plot_convergence | Convergence Diagnostic Plot |
| plot_credible_intervals | Credible Intervals Plot |
| plot_likelihood_surface | Likelihood Surface Plot |
| plot_posterior_approximation | Posterior Approximation Plot |
| plot_prior_posterior | Prior vs Posterior Comparison Plot |
| plot_residuals | Residuals Plot |
| plot_sensitivity_estimates | Plot Sensitivity of Estimates |
| plot_sensitivity_logposterior | Plot Sensitivity of Log-Posterior |
| plot_sensitivity_risk | Plot Sensitivity of Risk |
| predict.tkfit | Predict Method for tkfit Objects |
| print.tkexpectation | Print Method for tkexpectation Objects |
| print.tkfit | Print Method for tkfit Objects |
| print.tkhessian | Print Method for tkhessian Objects |
| print.tkmode | Print Method for tkmode Objects |
| print.tksensitivity | Print Method for tksensitivity Objects |
| print_model_comparison | Print Model Comparison Table |
| priors | Prior Distribution Functions |
| residuals.tkfit | Residuals Method for tkfit Objects |
| summary.tkfit | Summary Method for tkfit Objects |
| tk_expectation | Tierney-Kadane Approximation of Posterior Expectations |
| tk_expectations | Compute Multiple Expectations Efficiently |
| tk_fit | Main Function for Bayesian Estimation via Tierney-Kadane Approximation |
| tk_hessian | Compute the Hessian and Posterior Covariance Matrix |
| tk_loss | Bayes Estimators Under Various Loss Functions |
| tk_loss_custom | Custom Loss Function Estimator |
| tk_loss_gel | General Entropy Loss (GEL) Estimator |
| tk_loss_linex | LINEX Loss Estimator |
| tk_loss_precautionary | Precautionary Loss Estimator |
| tk_loss_sel | Squared Error Loss (SEL) Estimator |
| tk_loss_weighted_sel | Weighted Squared Error Loss Estimator |
| tk_mode | Find the Posterior Mode via Optimization |
| tk_plot | Visualization Functions for tkfit Objects |
| tk_posterior | Construct the Log-Posterior Function |
| tk_sensitivity | Prior Sensitivity Analysis |
| vcov.tkfit | Variance-Covariance Method for tkfit Objects |