Description Objects from the Class Slots Methods See Also
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)
signature(.Object = "GMPM")
: ...
signature(object = "GMPM")
: ...
signature(object = "GMPM")
: ...
signature(x = "GMPM", y = "vector")
: ...
signature(x = "GMPM", y = "matrix")
: ...
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