R: Analysis of Multivariate Normal Datasets with Missing Values

# Analysis of Multivariate Normal Datasets with Missing Values

## Documentation for package ‘norm’ version 1.0-11.1

- DESCRIPTION file

## Help Pages

.code.to.na | Changes missing value code to NA
.na.to.snglcode | Changes NA's to single precision missing value code
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 data
mdata | Dataset with missing values to illustrate use of package norm
mi.inference | Multiple imputation inference
ninvwish | Random normal-inverted Wishart variate
prelim.norm | Preliminary manipulations for a matrix of incomplete continuous data.
rngseed | Initialize random number generator seed