Description Usage Arguments Details Value Author(s) See Also Examples
Fits multivariate mixed models under a Bayesian approach using JAGS.
1 2 
formulas 
a list of R formulas representing the mixed models; these should be lme4type formulas. 
data 
a data.frame that contains all the variable to be used when fitting the multivariate mixed model. 
families 
a list of families objects correspond to each outcome. 
engine 
a character string indicating whether to use JAGS or STAN to fit the model. 
overdispersion 
logical; for Poisson outcomes, should an overdispersion parameter be included. 
priors 
a named list of userspecified prior parameters:

init 
a list of initial values. 
control 
a list of control values with components:

... 
options passed to the 
This function creates a JAGS program representing a multivariate mixed effects that is run with JAGS using the jagsUI package. Currently only Gaussian, Bernoulli and Poisson longitudinal outcomes can be handled.
A list of class mvglmer
with components:
mcmc 
a list with the MCMC samples for each parameter. 
components 
a list with design matrices and responses vectors extracted by applying
the 
data 
a copy of 
control 
a copy of the 
mcmc.info 
a list with information over the MCMC (i.e., time it took, iterations, etc.). 
DIC 
the DIC value for the fitted model. 
pD 
the pD valu for the fitted model. 
Rhat 
a list with the Rhat convergence diagnostics for each parameter. 
priors 
a copy of the priors used. 
postMeans 
a list with posterior means. 
postModes 
a list with posterior modes calculated using kernel desnisty estimation. 
EffectiveSize 
a list with effective sample sizes. 
StErr 
a list with posterior standard errors. 
StDev 
a list with posterior standard deviations. 
CIs 
a list with 95% credible intervals. 
Pvalues 
a list of tail probabilities for containg the zero value. 
call 
the matched call. 
Dimitris Rizopoulos d.rizopoulos@erasmusmc.nl
mvJointModelBayes
,
jointModelBayes
1 2 3 4 5 6 7 8 9 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.