Description Usage Arguments Author(s)

Prepare the data

1 |

`data` |
A data-frame with no missing values containg TP, TN, FP, FN, 'SID' and co-varaiables(if necessary). |

`SID` |
A string indicating the name of the column with the study ID. |

`formula.se` |
An optional object of class "formula": A symbolic description of a linear model to be fitted to mean E(x) of sensitivity in the logit scale. the default (when no covariates are included) symbolic description is SID ~ 1 corresponds to the model formula E(x) = mu = exp(a)/(1 + exp(a)) where a is the intercept. When the covariates are categorical and the relative measures are needed it is important to remove the interecept from the model to obtain meaningful parameters. EG for a covariate 'Test' with two levels(A and B) and relative sensitivity of B versus A is needed, then the correct formula is SID ~ Test - 1. See **** . Further information on interpretation of parameters in logistic regression see *** |

`formula.sp` |
An optional object of class "formula": A symbolic description of a linear model to be fitted to specificity data. When no covariates are included, the formula is not necessary. By default the covariate information for sensitivity is used. |

`formula.omega` |
An optional object of class "formula": A symbolic description of a linear model to be fitted to the copula function. When no covariates are included, the formula is not necessary. By default the covariate information for sensitivity is used. |

Victoria N Nyaga

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