norm: Analysis of Multivariate Normal Datasets with Missing Values

An integrated set of functions for the analysis of multivariate normal datasets with missing values, including implementation of the EM algorithm, data augmentation, and multiple imputation.

Version: 1.0-10.0
Imports: stats
Published: 2022-04-03
Author: Ported to R by Alvaro A. Novo. Original by Joseph L. Schafer.
Maintainer: John Fox <jfox at mcmaster.ca>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
In views: MissingData
CRAN checks: norm results

Documentation:

Reference manual: norm.pdf

Downloads:

Package source: norm_1.0-10.0.tar.gz
Windows binaries: r-devel: norm_1.0-10.0.zip, r-release: norm_1.0-10.0.zip, r-oldrel: norm_1.0-10.0.zip
macOS binaries: r-release (arm64): norm_1.0-9.5.tgz, r-release (x86_64): norm_1.0-10.0.tgz, r-oldrel: norm_1.0-10.0.tgz
Old sources: norm archive

Reverse dependencies:

Reverse depends: imp4p, imputeLCMD
Reverse imports: DAPAR, misaem, misty, mlmi, modi, MultiVarMI, naniar, psfmi, rrcovNA
Reverse suggests: BaBooN, missMethods, miWQS, MsCoreUtils, MSnbase, QFeatures, simputation

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