MIIPW: IPW and Mean Score Methods for Time-Course Missing Data

Contains functions for data analysis of Repeated measurement using GEE. Data may contain missing value in response and covariates. For parameter estimation through Fisher Scoring algorithm, Mean Score and Inverse Probability Weighted method combining with Multiple Imputation are used when there is missing value in covariates/response. Reference for mean score method, inverse probability weighted method is Wang et al(2007)<doi:10.1093/biostatistics/kxl024>.

Package details

AuthorAtanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb]
MaintainerAtanu Bhattacharjee <atanustat@gmail.com>
LicenseGPL-3
Version0.1.2
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MIIPW")

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MIIPW documentation built on June 8, 2025, 12:13 p.m.