Man pages for norm
Analysis of Multivariate Normal Datasets with Missing Values
| code.to.na | Changes missing value code to NA |
| da.norm | Data augmentation for incomplete multivariate normal data |
| em.norm | EM algorithm for incomplete normal data |
| getparam.norm | Extract normal parameters from packed storage |
| imp.norm | Impute missing multivariate normal data |
| loglik.norm | Observed-data loglikelihood for normal data |
| logpost.norm | Observed-data log-posterior for normal data |
| makeparam.norm | Convert normal parameters to packed storage |
| mda.norm | Monotone data augmentation for incomplete multivariate normal... |
| mdata | Dataset with missing values to illustrate use of package norm |
| mi.inference | Multiple imputation inference |
| na.to.sgnlcode | Changes NA's to single precision missing value code |
| ninvwish | Random normal-inverted Wishart variate |
| prelim.norm | Preliminary manipulations for a matrix of incomplete... |
| rngseed | Initialize random number generator seed |
