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pan  

Multiple Imputation for Multivariate Panel or Clustered Data
View on CRAN: Click here


Download and install pan package within the R console
Install from CRAN:
install.packages("pan")

Install from Github:
library("remotes")
install_github("cran/pan")

Install by package version:
library("remotes")
install_version("pan", "2.0")



Attach the package and use:
library("pan")
Maintained by
Jing hua Zhao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2003-11-15
Latest Update: 2023-12-07
Description:
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.
How to cite:
Jing hua Zhao (2003). pan: Multiple Imputation for Multivariate Panel or Clustered Data. R package version 2.0, https://cran.r-project.org/web/packages/pan. Accessed 05 Oct. 2026.
Previous versions and publish date:
(2026-07-09 06:38), 0.1 (2003-11-15 22:29), 0.2-1 (2004-02-29 10:05), 0.2-2 (2004-12-10 19:25), 0.2-3 (2005-04-02 11:50), 0.2-4 (2007-10-02 13:23), 0.2-6 (2008-05-14 10:16), 0.2 (2003-12-21 00:38), 0.3 (2011-04-28 17:37), 0.4 (2012-03-19 17:50), 0.5 (2012-08-06 20:23), 0.6 (2013-01-07 15:37), 0.7 (2013-04-17 07:31), 0.9 (2013-09-27 19:12), 1.3 (2015-02-10 23:56), 1.4 (2016-02-10 18:57), 1.6 (2018-06-29 16:12), 1.8 (2023-06-25 14:40), 1.9 (2023-12-07 17:57)
Other packages that cited pan R package
View pan citation profile
Other R packages that pan depends, imports, suggests or enhances
Complete documentation for pan
Functions, R codes and Examples using the pan R package
Some associated functions: YWC.data . bitest . ecme . marijuana . pan.bd . pan . 
Some associated R codes: pan.R . zzz.R .  Full pan package functions and examples
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