Inference and Prediction in an Illness-Death Model

autoplot.survIDM | Visualization of objects of class 'survIDM' with ggplot2... |

Beran | Estimation of the conditional distribution function of the... |

bladderIDM | Bladder Cancer Recurrences. |

CIF | Nonparametric estimation of the Cumulative Incident Functions... |

colonIDM | Chemotherapy for Stage B/C colon cancer. |

coxidm | Fit proportional hazards regression model in each transition... |

KM | Kaplan-Meier product-limit estimate of survival |

KMW | Kaplan-Meier weights |

LLW | Local linear weights |

markov.test | This function is used to test the markov assumption in the... |

nevents | Count number of observed transitions. |

NWW | Nadaraya-Watson weights. |

PKM | Presmoothed Kaplan-Meier product-limit estimate of survival |

PKMW | Presmoothed Kaplan-Meier weights |

plot.survIDM | Plot for an object of class "survIDM". |

sojourn | Nonparametric estimation of the Sojourn time distributions in... |

summary.cmm | Summarizing fits of 'cmm' class |

summary.survIDM | Summarizing fits of 'survIDM' class |

survIDM | Create a survIDM object |

survidm-package | survidm: Inference and Prediction in an Illness-Death Model |

tprob | Nonparametric estimation of transition probabilities in the... |

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.