Man pages for OncoBayes2
Bayesian Logistic Regression for Oncology Dose-Escalation Trials
| bind_rows_0 | Bind rows of multiple data frames with zero fill |
| blrm_exnex | Bayesian Logistic Regression Model for N-compounds with EXNEX |
| blrm_formula_linear | Build a BLRM formula with linear interaction term in... |
| blrm_formula_saturating | Build a BLRM formula with saturating interaction term in... |
| blrm_trial | Dose-Escalation Trials guided by Bayesian Logistic Regression... |
| codata_combo2 | Dataset: historical and concurrent data on a two-way... |
| critical_quantile | Critical quantile |
| diagnostic-quantities | Extract Diagnostic Quantities of 'OncoBayes2' Models |
| dose_info_combo2 | Dataset: trial dose information for a dual-agent combination... |
| dot-get_strata_group_fct | extracts from a blrmfit object and a given data-set the group... |
| dot-get_X | Obtain design matrices. |
| dot-label_index | Utility function to label parameter indices according to... |
| dot-validate_group_stratum_nesting | Test if each group is assigned to exactly 1 stratum. Error... |
| drug_info_combo2 | Dataset: drug information for a dual-agent combination study |
| example-combo2 | Two-drug combination example |
| example-combo2_trial | Two-drug combination example using BLRM Trial |
| example-combo3 | Three-drug combination example |
| example_model | Runs example models |
| example-single-agent | Single Agent Example |
| hist_combo2 | Dataset: historical data on two single-agents to inform a... |
| hist_combo3 | Dataset: historical and concurrent data on a three-way... |
| hist_SA | Single-agent example |
| lodds | Logit (log-odds) and inverse-logit function. |
| log_inv_logit | Numerically stable summation of log inv logit |
| log_mean_exp | Numerically stable mean of logs |
| nsamples.blrmfit | Return the number of posterior samples |
| OncoBayes2 | OncoBayes2 |
| plot_blrm | Plot a fitted model |
| posterior_interval.blrmfit | Posterior intervals |
| posterior_linpred.blrmfit | Posterior of linear predictor |
| posterior_predict.blrmfit | Posterior of predictive |
| pp_data | Internal function to simulate from the posterior new... |
| predictive_interval.blrmfit | Posterior predictive intervals |
| prior_summary.blrmfit | Summarise model prior |
| summary.blrmfit | Summarise model results |
| summary.blrm_trial | Summarise trial |
| update.blrmfit | Update data of a BLRM analysis |
| update.blrm_trial | Update data and/or prior of a BLRM trial |
