norm v1.0-9.5

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Analysis of multivariate normal datasets with missing values

Analysis of multivariate normal datasets with missing values

Functions in norm

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

Date 2013/02/27
License file LICENSE
URL http://www.stat.psu.edu/~jls/misoftwa.html#aut
Repository CRAN
Repository/R-Forge/Project norm
Repository/R-Forge/Revision 8
Repository/R-Forge/DateTimeStamp 2013-02-27 16:01:38
Date/Publication 2013-02-28 07:11:32
Packaged 2013-02-27 19:16:19 UTC; rforge
NeedsCompilation yes
License_restricts_use no

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