Package: norm 1.0-11.1

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.

Authors:Ported to R by Alvaro A. Novo <[email protected]>. Original by Joseph L. Schafer <[email protected]>.

norm_1.0-11.1.tar.gz
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norm_1.0-11.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
norm/json (API)

# Install 'norm' in R:
install.packages('norm', repos = c('https://john-d-fox.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • mdata - Dataset with missing values to illustrate use of package norm

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

6.15 score 38 packages 135 scripts 19k downloads 5 mentions 14 exports 0 dependencies

Last updated from:4c778c26e1. Checks:14 OK, 1 WARNING. Indexed: yes.

TargetResultTimeFilesSyslog
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linux-devel-x86_64OK93
source / vignettesOK173
linux-release-arm64OK75
linux-release-x86_64OK83
macos-release-arm64OK132
macos-release-x86_64OK209
macos-oldrel-arm64OK163
macos-oldrel-x86_64OK260
windows-devel-arm64OK317
windows-devel-x86_64OK97
windows-release-arm64WARNING326
windows-release-x86_64OK104
windows-oldrel-x86_64OK59
wasm-releaseOK83

Exports:.code.to.na.na.to.snglcodeda.normem.normgetparam.normimp.normloglik.normlogpost.normmakeparam.normmda.normmi.inferenceninvwishprelim.normrngseed

Dependencies: