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 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 |