dosresmetaObject {dosresmeta} | R Documentation |

An object returned by `dosresmeta`

function, inheriting
from class "`dosresmeta`

", and representing a fitted dose-response
(meta-analytical) model.

Objects of class "`dosresmeta`

" are lists with defined
components. Dimensions of such components differs according to the choosen
procedure. For the one-stage analysis the dimensions refer to a one
dimensional outcome, `p`

predictors and `m`

studies used for fitting
the model. For the two-stage analysis the dimensions refer to `p`

outcome parameters, no predictor (only the intercept) and `m`

studies.
The following components needs to be included in a legitimate mvmeta object:

`coefficients` | a `p` -dimensional vector of the fixed-effects coefficients. |

`vcov` | estimated `p \times p` (co)variance matrix of the fixed-effects coefficients. |

`Psi` | for random-effects models, the estimated `p \times p` between-study (co)variance matrix. |

`residuals` | a vector of residuals, that is observed minus fitted values. |

`fitted.values` | a vector of of fitted mean values. |

`df.residual` | the residual degrees of freedom. |

`rank` | the numeric rank of the fitted model. |

`logLik` | the (restricted) log-likelihood of the fitted model. |

`converged,niter` | for models with iterative estimation methods, logical scalar indicating if the algorithm eventually converged, and number of iterations. |

`control` | a list with the values of the control arguments used, as returned by `dosresmeta.control` . |

`method` | the estimation method. |

`dim` | list with the following scalar components: `m` (number of studies included in estimation, `k` (number of outcome parameters),
`p` (number of predictors). |

`df` | list with the following scalar components: nall (number of observations used for estimation, excluding missing values), nobs (equal to nall, minus the number of fixed-effects coefficients in REML models), fixed (number of estimated fixed-effects coefficients), random (number of estimated (co)variance terms). |

`lab` | list with the following label vectors: `p` for the p predictors (including intercept). |

`model` | the model frame used for fitting. |

`call` | the function call. |

`formula` | the model supplied. |

`terms` | the `terms` object representing the fitted model. |

`proc` | the estimation procedure. |

`center` | if the desing matrix had been centered. |

`covariance` | how the (co)variance had been appproximated. |

`Slist` | list of approximated (co)variance matrices. |

`id` | identification vector of the studies. |

`v` | variances of the outcome values |

A number of methods functions are available for `dosresmeta`

objects, most of them common to other regression functions.
Specifically-written method functions are defined for predict (standard predictions). The qtest method performs the Cochran Q test for heterogeneity only for a two-stage analysis.
Other methods have been produced for summary, logLik, coef, and vcov. Printing functions for the objects of classes defined above are also provided.
All the methods above are visible (exported from the namespace) and documented. In additions, several default method functions for regression are also
applicable to objects of class "mvmeta", such as fitted, residuals, AIC, BIC and update, among others.

Alessio Crippa, alessio.crippa@ki.se

`dosresmeta`

, `dosresmeta-package`

, `mvmetaObject`

[Package *dosresmeta* version 2.0.1 Index]