Package: cat 0.0-9

cat: Analysis and Imputation of Categorical-Variable Datasets with Missing Values

Performs analysis of categorical-variable with missing values. Implements methods from Schafer, JL, Analysis of Incomplete Multivariate Data, Chapman and Hall.

Authors:Ported to R by Ted Harding and Fernando Tusell. Original by Joseph L. Schafer <[email protected]>.

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cat.pdf |cat.html✨
cat/json (API)

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

Peer review:

Datasets:
  • belt - Data on driver injury and seat belt use
  • belt.frame - Data on driver injury and seat belt use
  • crimes - U.S. National Crime Survey
  • older - Older people dataset
  • older.frame - Older people dataset

On CRAN:

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

3.22 score 2 packages 46 scripts 759 downloads 6 mentions 12 exports 0 dependencies

Last updated 1 years agofrom:63886780d8. Checks:OK: 9. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-win-x86_64OKNov 07 2024
R-4.5-linux-x86_64OKNov 07 2024
R-4.4-win-x86_64OKNov 07 2024
R-4.4-mac-x86_64OKNov 07 2024
R-4.4-mac-aarch64OKNov 07 2024
R-4.3-win-x86_64OKNov 07 2024
R-4.3-mac-x86_64OKNov 07 2024
R-4.3-mac-aarch64OKNov 07 2024

Exports:bipfda.catdabipfecm.catem.catimp.catipflogpost.catmda.catmi.inferenceprelim.catrngseed

Dependencies: