Learn R Programming

pan (version 1.9)

Multiple Imputation for Multivariate Panel or Clustered Data

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.

Copy Link

Version

Install

install.packages('pan')

Monthly Downloads

41,812

Version

1.9

License

GPL-3

Maintainer

Last Published

December 7th, 2023

Functions in pan (1.9)

pan.bd

Imputation of multivariate panel or cluster data
bitest

A testing example for bivariate imputation
marijuana

A pilot study of the clinical and psychological effects of maarijuana
ecme

ECME algorithm for general linear mixed model
YWC.data

A data frame for multivariate imputation
pan

Imputation of multivariate panel or cluster data