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
pan_1.9.zip(r-4.7)pan_1.9.zip(r-4.6)pan_1.9.zip(r-4.5)
pan_1.9.tgz(r-4.6-x86_64)pan_1.9.tgz(r-4.6-arm64)pan_1.9.tgz(r-4.5-x86_64)pan_1.9.tgz(r-4.5-arm64)
pan_1.9.tar.gz(r-4.7-arm64)pan_1.9.tar.gz(r-4.7-x86_64)pan_1.9.tar.gz(r-4.6-arm64)pan_1.9.tar.gz(r-4.6-x86_64)
pan_1.9.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pan/json (API)

# Install 'pan' in R:
install.packages('pan', repos = c('https://jinghuazhao.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • bitest - A testing example for bivariate imputation
  • marijuana - A pilot study of the clinical and psychological effects of maarijuana
  • YWC.data - A data frame for multivariate imputation

On CRAN:

Conda:

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

8.16 score 1 stars 188 packages 80 scripts 64k downloads 5 mentions 3 exports 0 dependencies

Last updated from:384bad3515. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK104
linux-devel-x86_64OK105
source / vignettesOK161
linux-release-arm64OK112
linux-release-x86_64OK99
macos-release-arm64OK76
macos-release-x86_64OK174
macos-oldrel-arm64OK116
macos-oldrel-x86_64OK161
windows-develOK71
windows-releaseOK80
windows-oldrelOK116
wasm-releaseOK104

Exports:ecmepanpan.bd

Dependencies:

Imputation of missing covariates under a multivariate linear mixed model

Rendered frompan-tr.Rnwusingutils::Sweaveon Jun 03 2026.

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