Package index • norm

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

Reference