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. Author manuscript; available in PMC: 2018 Feb 2.
Published in final edited form as: Stata J. 2016 Apr;16(2):443–463.
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