S4 objects containing information about GMPMs.

The class ‘GMPM’ is a virtual class: No objects may be created
from it. The function `gmpmCreate`

chooses the type of
class to be created, either `GMPM.glm`

, `GMPM.mul`

, or
`GMPM.user`

, depending on the value passed to the ‘family’
argument of the function `gmpmCreate`

or `gmpm`

.

Objects of type `GMPM.glm`

fit models using the underlying
regression function `glm`

.

Object of type `GMPM.mul`

fit models using the underlying function
`multinom`

from package nnet.

The class `GMPM.user`

is intended to allow users to specify their
own regression functions (e.g., calls to nonlinear regression), but
has not yet been implemented.

`df1`

:a

`"data.frame"`

object containing the model frame`dform`

:`"formula"`

specifying the structure of the model without the multilevel grouping factor. This is necessary for passing along to the underlying regression function`mform`

:The full

`"formula"`

describing the model, including the multilevel grouping factor`munit`

:Object of type

`"character"`

identifying the name of the variable in the model frame that defines the multilevel units`nunits`

:An integer corresponding to the number of multilevel units in the model frame

`gmpmControl`

:A

`"list"`

with control arguments for the fitting function (see`gmpm`

)`fitcall`

:The call to the underlying function, cast as a

`"list"`

`famtype`

:A human-readable redescription of the family of model

`DVname`

:A string specifying the name of the dependent variable

`ivix`

:A numeric vector giving the indices of the permuted variables in the permutation matrix (i.e., variables for which p-values are obtained).

`IVinfo`

:Human-readable information about the independent variables (IVs)

`nWithin`

:Number of ‘within unit’ IVs

`nBetween`

:Number of ‘between unit’ IVs

`ivWithin`

:vector of names of within-unit IVs

`ivBetween`

:vector of names of between-unit IVs

`ivars`

:vector of names of all IVs

`IVcoef`

:A

`"list"`

of all IVs and the names in the regression output`covars`

:A vector of strings identifying the covariates in the model (anything on the right hand side of the formula that is not an IV is assumed to be a covariate)

`coefTerms`

:Object of class

`"list"`

~~`psBetween`

:A

`"data.frame"`

giving the permutation scheme for between-subject variables`psWithin`

:A

`"list"`

giving the permutation scheme for within-subject variables`pspace`

:Number of possible permutations

`pmx`

:The permutation matrix (or array, for GMPM.mul objects)

`nCellsPerUnit`

:Number of within-subject cells per sampling unit

`ncomp`

:Number of Monte Carlo runs completed

`convergence`

:A logical vector specifying whether or not a given run converged (

`GMPM.mul`

only)

- initialize
`signature(.Object = "GMPM")`

: ...- show
`signature(object = "GMPM")`

: ...- summary
`signature(object = "GMPM")`

: ...- mdTest
`signature(x = "GMPM", y = "vector")`

: ...- mdTest
`signature(x = "GMPM", y = "matrix")`

: ...

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