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).


Reference manual

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install.packages("MIIPW")

0.1.2 by Atanu Bhattacharjee, a year ago


Browse source code at https://github.com/cran/MIIPW


Authors: Atanu Bhattacharjee [aut, cre, ctb] , Bhrigu Kumar Rajbongshi [aut, ctb] , Gajendra K Vishwakarma [aut, ctb]


Documentation:   PDF Manual  


GPL-3 license


Imports mice, Matrix, MASS

Depends on lme4, spatstat

Suggests knitr, rmarkdown


See at CRAN