Parameters used by several functions in JointAI.
object inheriting from class 'JointAI'
names of variables for which no model should be specified. Note that this is only possible for completely observed variables and may imply assumptions of independence between the excluded variable and incomplete variables.
the first iteration of interest (see window.mcmc
)
the last iteration of interest (see window.mcmc
)
thinning interval (see window.mcmc
)
optional number of rows and columns in the plot layout; automatically chosen if unspecified
logical; Should ggplot be used instead of the base graphics?
logical; should warnings be given? Default is
TRUE
. Note: this applies only to warnings
given directly by JointAI.
logical; should messages be given? Default is
TRUE
. Note: this applies only to messages
given directly by JointAI.
labels for the x- and y-axis
logical; should the multi-level structure be taken into account?
This requires specification of the argument idvar
.
name of the column that specifies the multi-level grouping structure
logical; Should constant effects of auxiliary variables be kept in the output?
logical; should the parameters of the main model be penalized using ridge regression? Default is FALSE
logical; should the chains be sampled using parallel computation? Default is FALSE
number of cores to use for parallel computation; if left empty all except two cores will be used
optional seed value for reproducibility
logical: should monitors for posterior predictive checks be set? (not yet used)