Summary of a model of formal class “glimML” fitted by `betabin`

or `negbin`

.

Objects can be created by calls of the form `new("summary.glimML", ...)`

or,
more commonly, via the `summary`

or `show`

method for objects of formal class “glimML”.

`object`

An object of formal class “glimML”.

`Coef`

A data frame containing the estimates, standard error, z and P values for the fixed-effect coefficients which were

*estimated*by the fitting function.`FixedCoef`

A data frame containing the values of the fixed-effect coefficients which were

*set*to a fixed value.`Phi`

A data frame containing the estimates, standard error, z and P values for the overdispersion coefficients which were

*estimated*by the fitting function. Because the overdispersion coefficients are*> 0*, P values correspond to unilateral tests.`FixedPhi`

A data frame containing the values of the overdispersion coefficients which were

*set*to a fixed value.

- show
`signature(object = "summary.glimML")`

- show
`signature(object = "glimML")`

- summary
`signature(object = "glimML")`

1 2 3 4 5 6 7 8 9 10 |

Questions? Problems? Suggestions? Tweet to @rdrrHQ or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.