Description Usage Arguments Value Examples

View source: R/linERRloglikold.R

Compute the negative log-likelihood for the linear ERR model in a matched case-control dataset. This is an outdated function, replaced by the substantially faster linERRloglik

1 2 3 4 5 6 7 8 9 10 | ```
linERRloglikold(
params,
data,
doses,
set,
status,
loc,
corrvars = NULL,
ccmethod = "CCAL"
)
``` |

`params` |
vector of parameter values ( |

`data` |
data frame containing matched case-control data, with a number of columns for doses to different locations, a column containing matched set numbers, a column containing the case's tumor location (value between 1 and the number of locations, with location |

`doses` |
vector containing the indices of columns containing dose information, in the desired order. |

`set` |
column index containing matched set numbers. |

`status` |
column index containing case status. |

`loc` |
column index containing the location of the matched set's case's second tumor. |

`corrvars` |
vector containing the indices of columns containing variables to be corrected for. |

`ccmethod` |
choice of method of analysis: one of meandose, CCML, CCAL or CL. Defaults to CCAL |

Minus log likelihood in params

1 2 3 4 5 6 7 8 9 | ```
data(linearERRdata1)
#log-likelihood in the truth
-linERRloglikold(params=c(.3,rep(log(.25),4),log(2)),
data=linearERRdata1,set=1, doses=2:6, status=8, loc=7, corrvars=9)
#log-likelihood in 0
-linERRloglikold(params=c(0,rep(0,4),0),
data=linearERRdata1,set=1, doses=2:6, status=8, loc=7, corrvars=9)
``` |

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