Man pages for nathansam/SMLN
Bayesian Survival Analysis Using Shape Mixtures of Log-Normal Distributions
| BASSLINE_convert | Convert dataframe with mixed variables to a numeric matrix |
| BF_lambda_obs_LLAP | Outlier detection for observation for the log-Laplace model |
| BF_lambda_obs_LLOG | Outlier detection for observation for the log-logistic model |
| BF_lambda_obs_LST | Outlier detection for observation for the log-student's t... |
| BF_u_obs_LEP | Outlier detection for observation for the log-exponential... |
| cancer | VA Lung Cancer Trial Dataset |
| CaseDeletion_LEP | Case deletion analysis for the log-exponential power model |
| CaseDeletion_LLAP | Case deletion analysis for the log-Laplace model |
| CaseDeletion_LLOG | Case deletion analysis for the log-logistic model |
| CaseDeletion_LN | Case deletion analysis for the log-normal model |
| CaseDeletion_LST | Case deletion analysis for the log-student's t model |
| DIC_LEP | Deviance information criterion for the log-exponential power... |
| DIC_LLAP | Deviance information criterion for the log-Laplace model |
| DIC_LLOG | Deviance information criterion for the log-logistic model |
| DIC_LN | Deviance information criterion for the log-normal model |
| DIC_LST | Deviance information criterion for the log-student's t model |
| LML_LEP | Log-marginal likelihood estimator for the log-exponential... |
| LML_LLAP | Log-marginal likelihood estimator for the log-Laplace model |
| LML_LLOG | Log-marginal likelihood estimator for the log-logistic model |
| LML_LN | Log-marginal Likelihood estimator for the log-normal model |
| LML_LST | Log-marginal Likelihood estimator for the log-student's t... |
| MCMC_LEP | MCMC algorithm for the log-exponential power model |
| MCMC_LLAP | MCMC algorithm for the log-Laplace model |
| MCMC_LLOG | MCMC algorithm for the log-logistic model |
| MCMC_LN | MCMC algorithm for the log-normal model |
| MCMC_LST | MCMC algorithm for the log-student's t model |
| Trace_plot | Produce a trace plot of a variable's MCMC chain |
