IPW and Mean Score Methods for Time-Course Missing Data R package MIIPW version 0.1.2 CRAN Task View: MissingData (https://CRAN.R-project.org/view=MissingData) CRAN Task View: MixedModels (https://CRAN.R-project.org/view=MixedModels) 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>. Software Depends: R (>= 2.10), lme4, spatstat Imports: mice,Matrix,MASS Suggests: knitr, rmarkdown Atanu Bhattacharjee <atanustat@gmail.com> Comprehensive R Archive Network (CRAN) Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb] GPL-3 2025-04-21 application/tgz https://CRAN.R-project.org/package=MIIPW doi:10.32614/CRAN.package.MIIPW