| adni_simulated | Simulated ADNI-style Alzheimer's trial data |
| biomarker_dosing_rule | Biomarker-informed adaptive dosing rule |
| check_convergence | Convergence checks |
| check_convergence.default | Convergence checks |
| default_priors | Default priors for Bayesian progression models |
| delayed_effect | Delayed treatment effect function |
| emax_biomarker | Emax biomarker model |
| find_sample_size | Find sample size by simulation |
| fit_pmrm | Unified estimation wrapper |
| goodness_of_fit | Goodness-of-fit summary |
| initialize_subjects | Initialize subjects for an adaptive trial simulation |
| parametric_bootstrap | Parametric bootstrap for confidence intervals |
| parkinsons_simulated | Simulated Parkinson's trial data with informative dropout |
| pkpd_concentration | PK/PD helpers for biomarker dosing |
| plot.pmrm_delayed | Plot a delayed-effect fit |
| pmrm_adaptive_trial | Run a biomarker-informed adaptive trial simulation |
| pmrm_competing | Fit a competing-risks progression model |
| pmrm_delayed | Fit a progression model with delayed treatment onset |
| pmrm_joint | Fit a joint longitudinal-survival model |
| pmrm_nlme | Fit a nonlinear progression mixed-effects model |
| population_trajectory | Population-level trajectory over a time grid |
| power_pmrm | Simulation-based power for progression trials |
| predict.pmrm_nlme | Predict from a fitted progression model |
| print.pmrm_delayed | Print method for delayed-effect fits |
| scenario_base | Scenario builders for trial simulation studies |
| scenario_optimistic | Scenario builders for trial simulation studies |
| scenario_pessimistic | Scenario builders for trial simulation studies |
| simulate_biomarker | Simulate biomarker measurements under the PK/PD model |
| simulate_joint_trial | Simulate a trial with informative dropout via a joint model mechanism |
| simulate_progression_trial | Simulate a progression trial |
| subject_summaries | Extract subject-level summary (EB intercept and slope) |
| summary.pmrm_competing | Summarize a competing-risks fit |
| summary.pmrm_delayed | Summarize a delayed-effect fit |
| summary.pmrm_joint | Summarize a joint model fit |
| to_event_data | Reshape long trial data to per-subject event data |
| vpc | Visual predictive check (VPC) |