R: Fitted JMbayes Object

JMbayesObject {JMbayes}

R Documentation

Fitted JMbayes Object

Description

An object returned by the jointModelBayes function, inheriting from class JMbayes and representing a fitted joint model for longitudinal and time-to-event data. Objects of this class have methods for the generic functions coef, confint, fixed.effects, logLik, plot, print, random.effects, summary, and vcov.

Value

The following components must be included in a legitimate JMbayes object.

`mcmc`	a list with the MCMC samples for each parameter (except from the random effects if control argument `keepRE` is `FALSE`).
`postMeans`	a list with posterior means.
`postModes`	a list with posterior modes calculated using kernel desnisty estimation.
`postVarsRE`	a list with the posterior variance-covariance matrix for the random effects of each subject.
`StErr`	a list with posterior standard errors.
`EffectiveSize`	a list with effective sample sizes.
`StDev`	a list with posterior standard deviations.
`CIs`	a list with 95% credible intervals.
`vcov`	the variance-covariance matrix of the model's parameters based.
`pD`	the pD value.
`DIC`	the deviance information criterion value.
`CPO`	the conditional predictive ordinate value.
`LPML`	the log pseudo marginal likelihood value.
`time`	the time used to fit the model.
`scales`	a list with scaling constants in the Metropolis algorithm.
`Covs`	a list with the covariance matrices of the proposals in the Metropolis algorithm.
`acceptRates`	a list of acceptance rates.
`x`	a list with the design matrices for the longitudinal and event processes.
`y`	a list with the response vectors for the longitudinal and event processes.
`Data`	a list of data frames with the data used to fit the models.
`Terms`	a list of terms objects for the various parts of the joint model.
`Funs`	a list of functions used for the various parts of the joint model.
`Forms`	a list of formulas for the two submodels.
`timeVar`	the value of the `timeVar` argument
`control`	the value of the `control` argument.
`densLongCheck`	a logical indicating whether a scale parameter is required in the longitudinal submodel.
`param`	the value of the `param` argument.
`priors`	a list with the specification of the prior distributions for the model's parameters. This has the same components as the `priors` argument of the `jointModelBayes` function.
`baseHaz`	the value of the `baseHaz` argument.
`df.RE`	the value of the `df.RE` argument.
`call`	the matched call.

Author(s)

Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl

Fitted JMbayes Object

Description

Value

Author(s)

See Also