| norm2-package | Analysis of incomplete multivariate data under a normal model |
| cholesterol | Cholesterol levels for heart-attack patients |
| emNorm | EM algorithm for incomplete multivariate normal data |
| emNorm.default | EM algorithm for incomplete multivariate normal data |
| emNorm.formula | EM algorithm for incomplete multivariate normal data |
| emNorm.norm | EM algorithm for incomplete multivariate normal data |
| flas | Foreign Language Attitude Scale |
| impNorm | Imputation and prediction for incomplete multivariate normal data |
| impNorm.default | Imputation and prediction for incomplete multivariate normal data |
| impNorm.formula | Imputation and prediction for incomplete multivariate normal data |
| impNorm.norm | Imputation and prediction for incomplete multivariate normal data |
| loglikNorm | Observed-data loglikelikehood for incomplete multivariate normal data |
| loglikNorm.default | Observed-data loglikelikehood for incomplete multivariate normal data |
| loglikNorm.formula | Observed-data loglikelikehood for incomplete multivariate normal data |
| loglikNorm.norm | Observed-data loglikelikehood for incomplete multivariate normal data |
| logpostNorm | Observed-data log-posterior density for incomplete multivariate normal data |
| logpostNorm.default | Observed-data log-posterior density for incomplete multivariate normal data |
| logpostNorm.formula | Observed-data log-posterior density for incomplete multivariate normal data |
| logpostNorm.norm | Observed-data log-posterior density for incomplete multivariate normal data |
| marijuana | Changes in heart rate after marijuana use |
| mcmcNorm | MCMC algorithm for incomplete multivariate normal data |
| mcmcNorm.default | MCMC algorithm for incomplete multivariate normal data |
| mcmcNorm.formula | MCMC algorithm for incomplete multivariate normal data |
| mcmcNorm.norm | MCMC algorithm for incomplete multivariate normal data |
| miInference | Combine results from analyses after multiple imputation |
| norm2 | Analysis of incomplete multivariate data under a normal model |
| print.miInference | Combine results from analyses after multiple imputation |
| print.summary.norm | Summarize information from EM or MCMC algorithms |
| summary.norm | Summarize information from EM or MCMC algorithms |