Split-Population Duration (Cure) Regression

accessors | Accessor methods for spdur Objects |

add_duration | Add duration variables to panel data |

AIC.spdur | AIC method for spdur |

as.data.frame.spdur | Convert spdur results to summary data frame |

attempt_date | Attempt to convert to R date format |

BIC.spdur | BIC method for spdur |

bscoup | B&S 2003 coup data |

coups | Global coups, 1979 to 2010 |

expand.call | Expand call to full names. |

forecast.spdur | Forecast from a spdur model |

hazard | Calculate hazard function values |

loglog | Regular Log-logistic regression |

loglog_lnl | Regular Log-logistic likelihood |

model.coups | Model of global coups from 1979 to 2010 |

panel_lag | Lag panel data |

plot_hazard | Plot hazard function |

plot_hazard1 | Plot conditional hazard rate |

plot_hazard2 | Simulate and plot hazard function |

plot.spdur | Plot split-duration model results. |

predict.spdur | Predict methods for spdur Objects |

print.summary.spdur | Print a split-population duration model results summary |

sepplot | Generate a Separation Plot |

spdur | Split-population duration (cure) regression |

spduration | Split-Population Duration (Cure) Regression Models |

sploglog | Split-population Log-logistic regression |

sploglog_lnl | Split-population Log-logistic log likelihood |

spweib_lnl | Split-population Weibull log likelihood |

spweibull | Split-population Weibull regression |

summary.spdur | Summarize split-population duration results |

weib_lnl | Regular weibull log likelihood |

weibull | Regular Weibull regression |

xtable.spdur | Create export table for a split-duration model |

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