Package: pan 1.9

pan: Multiple Imputation for Multivariate Panel or Clustered Data

It provides functions and examples for maximum likelihood estimation for generalized linear mixed models and Gibbs sampler for multivariate linear mixed models with incomplete data, as described in Schafer JL (1997) "Imputation of missing covariates under a multivariate linear mixed model". Technical report 97-04, Dept. of Statistics, The Pennsylvania State University.

Authors:Original by Joseph L. Schafer

pan_1.9.tar.gz
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pan_1.9.tar.gz(r-4.5-noble)pan_1.9.tar.gz(r-4.4-noble)
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pan.pdf |pan.html
pan/json (API)

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

Peer review:

Datasets:
  • YWC.data - A data frame for multivariate imputation
  • bitest - A testing example for bivariate imputation
  • marijuana - A pilot study of the clinical and psychological effects of maarijuana

On CRAN:

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

7.79 score 1 stars 143 packages 63 scripts 45k downloads 5 mentions 3 exports 0 dependencies

Last updated 1 years agofrom:384bad3515. 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:ecmepanpan.bd

Dependencies:

Imputation of missing covariates under a multivariate linear mixed model

Rendered frompan-tr.Rnwusingutils::Sweaveon Nov 07 2024.

Last update: 2023-06-25
Started: 2013-09-27