Description Usage Arguments Details Value Author(s) References See Also Examples

Determines the maximum likelihood estimates of model coefficients in the logistic joinpoint regression model with one joinpoint.

1 |

`y` |
the vector of Binomial responses. |

`n` |
the vector of sizes for the Binomial random variables. |

`tm` |
the vector of ordered observation times. |

`X` |
a design matrix containing other covariates. |

`ofst` |
a vector of known offsets for the logit of the response. |

`summ` |
a boolean indicator of whether summary tables should be returned. |

The re-weighted log-likelihood is the log-likelihood divided by the largest component of n.

`Coef` |
A table of coefficient estimates. |

`Joinpoint` |
The estimate of the joinpoint. |

`wlik` |
The maximum value of the re-weighted log-likelihood. |

The authors are Michal Czajkowski, Ryan Gill, and Greg Rempala. The software is maintained by Ryan Gill [email protected].

Czajkowski, M., Gill, R. and Rempala, G. (2008). Model selection in logistic joinpoint regression with applications to analyzing cohort mortality patterns. *Statistics in Medicine* 27, 1508-1526.

1 2 3 |

ljr documentation built on May 29, 2017, 10:22 a.m.

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.