| ebmstate-package | Empirical Bayes multi-state Cox model |
| boot_coxrfx | Bootstrap confidence intervals for regression coefficients |
| boot_ebmstate | Bootstrap samples and bootstrap interval estimates |
| boot_probtrans | Bootstrap confidence intervals for transition probabilities |
| CIs_for_target_state | Ancillary function of 'boot_ebmstate'. |
| convolute_clockforward | Convolution function for clock-forward models |
| convolute_clockreset | Convolution function for clock-reset models |
| CoxRFX | Empirical Bayes, multi-state Cox model |
| coxrfx_object_sample | Example of an empirical Bayes model fit |
| cumhazCIs_for_target_transition | Ancillary function of 'boot_ebmstate'. |
| cumhaz_splines | Spline approximations of the cumulative hazard functions |
| extract_function | Ancillary function to 'boot_ebmstate'. |
| joint_cum_hazard_function | Compute the cumulative hazard of leaving a given state |
| loo_ebmstate | Leave-one-out estimation |
| MakeInteger | Convert factor to integer. |
| msfit_generic | Compute subject-specific transition hazards. |
| msfit_generic.coxrfx | Compute subject-specific transition hazards. |
| msfit_generic.default | Compute subject-specific transition hazards. |
| msfit_object_sample | Estimated cumulative hazard rates under an empirical Bayes Cox model (example) |
| mstate_data | An example of long-format multistate data |
| mstate_data_sample | A simulated event-history data set |
| print.coxrfx | Print method for CoxRFX objects |
| print.msfit | Print method for 'msfit' objects generated by 'msfit_generic' |
| probtrans_by_convolution | Compute all transition probabilities from a given state using convolution |
| probtrans_by_convolution_clockforward | Compute transition probabilities under a clock-forward model using a convolution algorithm. |
| probtrans_by_convolution_clockreset | Compute transition probabilities under a clock-reset model using a convolution algorithm. |
| probtrans_ebmstate | Compute subject-specific transition probabilities using convolution. |
| probtrans_fft | Compute subject-specific transition probabilities using a convolution algorithm based on the Fast Fourier transform. |
| probtrans_mstate | Compute subject-specific or overall transition probabilities |
| probtrans_mstate.coxrfx | Compute subject-specific or overall transition probabilities |
| probtrans_mstate.default | Compute subject-specific or overall transition probabilities |
| successful_transitions | Find the unique possible path until an absorbing state |
| summary.coxrfx | A summary method for CoxRFX models |
| unique_paths | Find all possible paths until absorption from a given starting state |