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_Markov |
Convolution function for Markov models |

convolute_semiMarkov |
Convolution function for semi-Markov 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_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_Markov |
Compute transition probabilities under a non-homogeneous Markov model using a convolution algorithm. |

probtrans_by_convolution_semiMarkov |
Compute transition probabilities under a semi-Markov model using a convolution algorithm. |

probtrans_ebmstate |
Compute subject-specific transition probabilities using convolution. |

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 |