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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: 1.0-11.1
Imports: stats
Published: 2023-06-18
DOI: 10.32614/CRAN.package.norm
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_1.0-11.1.tar.gz
Windows binaries: r-devel: norm_1.0-11.1.zip, r-release: norm_1.0-11.1.zip, r-oldrel: norm_1.0-11.1.zip
macOS binaries: r-release (arm64): norm_1.0-11.1.tgz, r-oldrel (arm64): norm_1.0-11.1.tgz, r-release (x86_64): norm_1.0-11.1.tgz, r-oldrel (x86_64): norm_1.0-11.1.tgz
Old sources: norm archive

Reverse dependencies:

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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=norm to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.