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 |
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