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norm (version 1.0-9.5)
Analysis of multivariate normal datasets with missing values
Description
Analysis of multivariate normal datasets with missing values
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Install
install.packages('norm')
Monthly Downloads
15,282
Version
1.0-9.5
License
file LICENSE
Maintainer
John Fox
Last Published
February 28th, 2013
Functions in norm (1.0-9.5)
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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