Analysis of Multivariate Normal Datasets with Missing Values

Documentation for package ‘norm’ version 1.0-11.1

.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