# dynamichazard v0.1.0

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## Dynamic Hazard Models using State Space Models

Contains functions that lets you fit dynamic hazard models with binary
outcomes using state space models. The methods are originally described in
Fahrmeir (1992) <doi:10.1080/01621459.1992.10475232> and Fahrmeir (1994)
<doi:10.1093/biomet/81.2.317>. The functions also provide an extension hereof where the
Extended Kalman filter is replaced by an Unscented Kalman filter. Models are
fitted with the regular coxph() like formula.

## Readme

## Functions in dynamichazard

Name | Description | |

plot.fahrmeier_94 | Plots for ddhazard | |

static_glm | Function to make a static glm fit | |

residuals.fahrmeier_94 | Residuals for ddhazard | |

predict.fahrmeier_94 | Predict function for the result of ddhazard | |

ddFixed | Function used in formula of ddhazard for time-invariant effects | |

ddhazard_app | A Shiny app to illustrates model and method | |

ddhazard | Function to fit dynamic discrete hazard models | |

get_survival_case_weigths_and_data | Static GLM fit for survival models | |

plot.fahrmeier_94_SpaceErrors | State space error plot | |

get_risk_obj | Get the risk set at each bin over an equal distance grid | |

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## Last month downloads

## Details

Type | Package |

License | GPL-2 |

LazyData | TRUE |

LinkingTo | Rcpp, RcppArmadillo |

RoxygenNote | 5.0.1 |

VignetteBuilder | knitr |

BugReports | https://github.com/boennecd/dynamichazard/issues |

SystemRequirements | C++11 |

URL | https://github.com/boennecd/dynamichazard |

NeedsCompilation | yes |

Packaged | 2016-12-28 16:32:25 UTC; boennecd |

Repository | CRAN |

Date/Publication | 2016-12-28 17:49:25 |

suggests | biglm , captioner , formatR , httr , knitr , mgcv , rmarkdown , shiny , testthat , timereg |

imports | graphics , parallel , Rcpp (>= 0.12.6) , stats , stringr , survival , utils |

linkingto | RcppArmadillo |

Contributors | R-core R-core@R-project.org, Alan Miller, Benjamin Christoffersen, Anthony Williams, Boost developers |

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