joint.object: Fitted 'joint' object
In gmvjoint: Joint Models of Survival and Multivariate Longitudinal Data
joint.object R Documentation
Fitted joint object
Description
An object returned by the joint function, with class joint
a fitted joint model. Objects of this class currently have methods for: logLik,
print, ranef, fixef, summary, AIC, and vcov.
Usage
joint.object
Format
An object of class NULL of length 0.
Value
A list with the following components.
coeffsA list containing parameter estimates:
DThe variance-covariance matrix of the random effects.
betaVector of fixed effects for longitudinal processes.
sigmaList of dispersion parameters, families with no dispersion parameter
are returned as an unnamed zero value.
gammaVector of association parameters.
zetaVector of time-invariant survival coefficients.
hazardA matrix containing unique failure times ft, their hazard
contribution haz and the number of events at that failure time nev.
ModelInfoA list containing information on the model fit:
ResponseInfoA vector containing response names with (family) reported.
RespsA vector containing response names only.
familyA list of families fit.
KAn integer specifying the number of longitudinal sub-models.
PcountsA list containing informations about the number of parameters/random
effects:
PA vector of length K containing the number of fixed effects for each response
(in order).
PdA vector of length K containing the number of dispersion parameters for each
response (in order) 0 denotes no parameter for that response.
qAn integer denoting the number of random effects.
vDAn integer denoting the number of unique variance-covariance parameters
estimated.
long.formulasA list of long.formulas (i.e. from joint call).
disp.formulasA list of disp.formulas (i.e. from joint call).
If no disp.formulas are supplied to joint, then this is populated by a list of
K "~1". The environment is set to parent.frame in this case to avoid
memory overheads in returned objects.
surv.formulaFormula object from joint call.
survtimeThe name of the event time used in surv.formula.
statusThe name of the event indicator used in surv.formula.
controlList of control parameters used, see joint.
convergence.criteriaList of parameters relating to the stopping rule.
indsA list of length two, named R and Cpp, each of which contains
the indices for fixed effects \beta for each response, or the random effects b
for the named platform.
nNumber of subjects.
nobsA vector containing total number of observations for each response.
miA K x n matrix containing the number of observations for
subject i for the kth response.
nevNumber of events.
id.assignA list containing the original ids of subjects in the data
supplied to joint, and the id assigned to them for use in subsequent functions.
HessianThe (approximated) Hessian found at MLEs. Only returned if
control argument post.process=TRUE
.
vcovThe full variance-covariance matrix between parameters. Only returned if
control argument post.process=TRUE.
SEA named vector of approximated standard error for each estimated parameter.
Only returned if control argument post.process=TRUE.
logLiklog-likelihood evaluated at parameter estimates. Only returned if control
argument post.process=TRUE.
REsThe random effects, with subject-specific variance matrices attributed. If
control argumnet post.process=TRUE then these are found at MLEs (i.e. are posterior
estimates), otherwise they are taken from the final EM iteration.
elapsed.timeNamed numeric containing breakdown of elapsed time for joint
fit.
dmatsA list of data matrices on each of the longitudinal
and survival processes for each subject.
Author(s)
James Murray (j.murray7@ncl.ac.uk).
See Also
joint.
gmvjoint documentation built on Oct. 6, 2024, 1:07 a.m.
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| joint.object | R Documentation |
Fitted joint object
Description
An object returned by the joint function, with class joint
a fitted joint model. Objects of this class currently have methods for: logLik,
print, ranef, fixef, summary, AIC, and vcov.
Usage
joint.object
Format
An object of class NULL of length 0.
Value
A list with the following components.
coeffsA list containing parameter estimates:
DThe variance-covariance matrix of the random effects.
betaVector of fixed effects for longitudinal processes.
sigmaList of dispersion parameters, families with no dispersion parameter are returned as an unnamed zero value.
gammaVector of association parameters.
zetaVector of time-invariant survival coefficients.
hazardA matrix containing unique failure times
ft, their hazard contributionhazand the number of events at that failure timenev.ModelInfoA list containing information on the model fit:
ResponseInfoA vector containing response names with (family) reported.
RespsA vector containing response names only.
familyA list of families fit.
KAn integer specifying the number of longitudinal sub-models.
PcountsA list containing informations about the number of parameters/random effects:
PA vector of length K containing the number of fixed effects for each response (in order).
PdA vector of length K containing the number of dispersion parameters for each response (in order) 0 denotes no parameter for that response.
qAn integer denoting the number of random effects.
vDAn integer denoting the number of unique variance-covariance parameters estimated.
long.formulasA list of
long.formulas(i.e. fromjointcall).disp.formulasA list of
disp.formulas(i.e. fromjointcall). If nodisp.formulasare supplied tojoint, then this is populated by a list ofK"~1". The environment is set toparent.framein this case to avoid memory overheads in returned objects.surv.formulaFormula object from
jointcall.survtimeThe name of the event time used in
surv.formula.statusThe name of the event indicator used in
surv.formula.controlList of control parameters used, see
joint.convergence.criteriaList of parameters relating to the stopping rule.
indsA list of length two, named
RandCpp, each of which contains the indices for fixed effects\betafor each response, or the random effectsbfor the named platform.nNumber of subjects.
nobsA vector containing total number of observations for each response.
miA
Kxnmatrix containing the number of observations for subjectifor thekth response.nevNumber of events.
id.assignA list containing the original ids of subjects in the
datasupplied tojoint, and the id assigned to them for use in subsequent functions.
HessianThe (approximated) Hessian found at MLEs. Only returned if control argument
post.process=TRUE
.
vcovThe full variance-covariance matrix between parameters. Only returned if control argument
post.process=TRUE.SEA named vector of approximated standard error for each estimated parameter. Only returned if control argument
post.process=TRUE.logLiklog-likelihood evaluated at parameter estimates. Only returned if control argument
post.process=TRUE.REsThe random effects, with subject-specific variance matrices attributed. If control argumnet
post.process=TRUEthen these are found at MLEs (i.e. are posterior estimates), otherwise they are taken from the final EM iteration.elapsed.timeNamed numeric containing breakdown of elapsed time for
jointfit.dmatsA list of data matrices on each of the longitudinal and survival processes for each subject.
Author(s)
James Murray (j.murray7@ncl.ac.uk).
See Also
joint.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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