joint.object | R Documentation |

`joint`

objectAn 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`

.

```
joint.object
```

An object of class `NULL`

of length 0.

A list with the following components.

`coeffs`

A list containing parameter estimates:

`D`

The variance-covariance matrix of the random effects.

`beta`

Vector of fixed effects for longitudinal processes.

`sigma`

List of dispersion parameters, families with no dispersion parameter are returned as an unnamed zero value.

`gamma`

Vector of association parameters.

`zeta`

Vector of time-invariant survival coefficients.

`hazard`

A matrix containing unique failure times

`ft`

, their hazard contribution`haz`

and the number of events at that failure time`nev`

.`ModelInfo`

A list containing information on the model fit:

`ResponseInfo`

A vector containing response names with (family) reported.

`Resps`

A vector containing response names only.

`family`

A list of families fit.

`K`

An integer specifying the number of longitudinal sub-models.

`Pcounts`

A list containing informations about the number of parameters/random effects:

`P`

A vector of length K containing the number of fixed effects for each response (in order).

`Pd`

A vector of length K containing the number of dispersion parameters for each response (in order) 0 denotes no parameter for that response.

`q`

An integer denoting the number of random effects.

`vD`

An integer denoting the number of unique variance-covariance parameters estimated.

`long.formulas`

A list of

`long.formulas`

(i.e. from`joint`

call).`disp.formulas`

A 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.formula`

Formula object from

`joint`

call.`survtime`

The name of the event time used in

`surv.formula`

.`status`

The name of the event indicator used in

`surv.formula`

.`control`

List of control parameters used, see

`joint`

.`convergence.criteria`

List of parameters relating to the stopping rule.

`inds`

A 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.`n`

Number of subjects.

`nobs`

A vector containing total number of observations for each response.

`mi`

A

`K`

x`n`

matrix containing the number of observations for subject`i`

for the`k`

th response.`nev`

Number of events.

`id.assign`

A list containing the original ids of subjects in the

`data`

supplied to`joint`

, and the id assigned to them for use in subsequent functions.

`Hessian`

The (approximated) Hessian found at MLEs. Only returned if control argument

`post.process=TRUE`

.

`vcov`

The full variance-covariance matrix between parameters. Only returned if control argument

`post.process=TRUE`

.`SE`

A named vector of approximated standard error for each estimated parameter. Only returned if control argument

`post.process=TRUE`

.`logLik`

log-likelihood evaluated at parameter estimates. Only returned if control argument

`post.process=TRUE`

.`REs`

The 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.time`

Named numeric containing breakdown of elapsed time for

`joint`

fit.`dmats`

A list of data matrices on each of the longitudinal and survival processes for each subject.

James Murray (j.murray7@ncl.ac.uk).

`joint`

.

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