Scalars |
r(N)
|
total sample size |
r(Nmiss)
|
total number of individuals with incomplete data |
r(Ncomp)
|
total number of individuals with complete data |
r(M)
|
number of imputations |
r(burnin)
|
number of MCMC burn-in iterations |
r(bbetween)
|
number of MCMC burn-between iterations |
Macros |
r(depvar)
|
name of dependent variable |
r(treatvar)
|
name of treatment group variable |
r(covariates)
|
names of covariates |
r(method)
|
imputation method (with method() only) |
r(methodvar)
|
imputation method variable (with methodvar() only) |
r(rgroup)
|
name of reference group (with refgroup() only) |
r(rgroupvar)
|
name of reference group variable (with refgroupvar() only) |
r(rseed)
|
random-number seed |
Matrices |
r(Ntreat)
|
sample size in each treatment group |
r(Ntreat_mis)
|
number of individuals with incomplete data in each treatment group |
r(Ntreat_comp)
|
number of individuals with complete data in each treatment group |
r(Ntreat_pat)
|
number of unique missing-value patterns in each treatment group |
r(niter_em)
|
number of iterations EM takes to converge in each treatment group |
r(lpobs_em)
|
observed log posterior in EM in each treatment group |
r(conv_em)
|
convergence flag for EM in each treatment group |