Skip to main content
. Author manuscript; available in PMC: 2019 Aug 20.
Published in final edited form as: World Acad Sci Eng Technol. 2019;13(5):302–311. doi: 10.5281/zenodo.3298841

TABLE I.

List of Arguments in dynr.mi()

Parameter Type Meaning
dynrModel dynrModel Data and model setup
which.aux character Names of the auxiliary variables used in the imputation model
which.lag character Names of the variables to create lagged responses for imputation purposes
lag integer Number of lags of variables in the imputation model
which.lead character Names of the variables to create leading responses for imputation purposes
lead integer Number of leads of variables in the imputation model
seed integer Random number seed to be used in the MI procedure
m integer Number of multiple imputations
Iter integer Number of MCMC iterations in each imputation
imp.exo logical Flag to impute the exogenous variables
imp.obs logical Flag to impute the observed dependent variables
diag logical Flag to use convergence diagnostics
Rhat numeric Value of the R^ statistic used as the criterion in convergence diagnostics
verbose logical Flag to print the intermediate output during the estimation process
conf.level numeric Confidence level used to generate confidence intervals