A Collection of Functions to Help with Analysis of Coarsely Observed Data

cd.fit | An S4 Class that stores a fitted coarse data object |

cd.fit.mcmc | An S4 Class that stores a MCMC fit coarse data object |

dic.fit | Fits a log-normal, gamma, or Weibull model to doubly interval... |

dic.fit.mcmc | Fits the distribution to the passed-in data using MCMC as... |

EMforCFR | A function to estimate the relative case fatality ratio when... |

exp.win.lengths | Exposure window lengths from an influenza outbreak at a NYC... |

fluA.inc.per | Coarse incubation period data for influenza A |

get.obs.type | Tries to guess the observation types (SIC, DIC, or exact). |

loglikhd | Negative log likelihood for a dataset of interval-censored... |

logLik-methods | Get the log-likelihood value of a 'cd.fit' or 'cd.fit.mcmc'... |

mcmc.erlang | Does a metropolis hastings for the Erlang distribution |

mcmcpack.ll | posterior log likelihood function to pass to MCMCpack sampler |

nycH1N1 | Incubation period data from New York City Public Schools,... |

plot-methods | Plots the estimated survival function with an option to plot... |

precision.simulation | Simulate incubation period analyses with coarse data |

simulated.outbreak.deaths | Simulated case and death reports from a fictional outbreak |

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.