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
norm_1.0-11.1.zip(r-4.5)norm_1.0-11.1.zip(r-4.4)norm_1.0-11.1.zip(r-4.3)
norm_1.0-11.1.tgz(r-4.4-x86_64)norm_1.0-11.1.tgz(r-4.4-arm64)norm_1.0-11.1.tgz(r-4.3-x86_64)norm_1.0-11.1.tgz(r-4.3-arm64)
norm_1.0-11.1.tar.gz(r-4.5-noble)norm_1.0-11.1.tar.gz(r-4.4-noble)
norm_1.0-11.1.tgz(r-4.4-emscripten)norm_1.0-11.1.tgz(r-4.3-emscripten)
norm.pdf |norm.html
norm/json (API)

# Install 'norm' in R:
install.packages('norm', repos = c('https://john-d-fox.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • mdata - Dataset with missing values to illustrate use of package norm

On CRAN:

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

5.95 score 30 packages 110 scripts 18k downloads 5 mentions 14 exports 0 dependencies

Last updated 1 years agofrom:4c778c26e1. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 13 2024
R-4.5-win-x86_64OKOct 13 2024
R-4.5-linux-x86_64OKOct 13 2024
R-4.4-win-x86_64OKOct 13 2024
R-4.4-mac-x86_64OKOct 13 2024
R-4.4-mac-aarch64OKOct 13 2024
R-4.3-win-x86_64OKOct 13 2024
R-4.3-mac-x86_64OKOct 13 2024
R-4.3-mac-aarch64OKOct 13 2024

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

Dependencies: