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

This function tests the null hypothesis of 0 joinpoints versus the alternative of one joinpoint based on the likelihood ratio test statistic. The p-value is determined by a Monte Carlo method.

1 | ```
ljr01(y,n,tm,X,ofst,R=1000,alpha=.05)
``` |

`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. |

`R` |
number of Monte Carlo simulations. |

`alpha` |
significance level of the test. |

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

`pval` |
The estimate of the p-value via simulation. |

`Coef` |
A table of coefficient estimates. |

`Joinpoint` |
The estimates of the joinpoint, if it is significant. |

`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 4 |

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.