| prome-package | The 'prome' package. |
| bate | Bayesian Hierarchical Model for RPO data with repeated measures |
| bd010 | Simulated blinding data |
| bd011 | Simulated blinding data |
| bd012 | Simulated blinding data |
| blinding.cpe | Changing point estimator to correct bias due to unblinding in RCTs |
| blinding.test | Latent Shift Logistic Regression |
| cpe | Changing point estimator to correct bias due to unblinding in RCTs |
| ex100x3 | Sample PRO Data With Repeated Measures |
| FitLogitStan | Latent Shift Logistic Regression |
| MeanHM | Bayesian Hierarchical Model for Information Borrowing for Means |
| n100x3 | Sample PRO Data With Repeated Measures |
| plot.memix | Bayesian Hierarchical Model for RPO data with repeated measures |
| pratio | Bayesian Hierarchical Model for RPO data with repeated measures |
| print.memix | Bayesian Hierarchical Model for RPO data with repeated measures |
| print.xover | Bayesian analysis of 2x2 crossover trial data |
| prome | The 'prome' package. |
| PropHM | Bayesian Hierarchical Model for Information Borrowing for Proportions |
| ResponderAnalysis | Bayesian Hierarchical Model for RPO data with repeated measures |
| xover | Bayesian analysis of 2x2 crossover trial data |