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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>.
| Version: | 0.1.1 |
| Depends: | R (≥ 2.10) |
| Imports: | mice, Matrix, MASS |
| Suggests: | knitr, rmarkdown |
| Published: | 2023-02-13 |
| Author: | Atanu Bhattacharjee [aut, cre, ctb], Bhrigu Kumar Rajbongshi [aut, ctb], Gajendra K Vishwakarma [aut, ctb] |
| Maintainer: | Atanu Bhattacharjee <atanustat at gmail.com> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| In views: | MissingData |
| CRAN checks: | MIIPW results |
| Reference manual: | MIIPW.pdf |
| Vignettes: |
Introduction to MIIPW |
| Package source: | MIIPW_0.1.1.tar.gz |
| Windows binaries: | r-devel: MIIPW_0.1.1.zip, r-release: MIIPW_0.1.1.zip, r-oldrel: MIIPW_0.1.1.zip |
| macOS binaries: | r-release (arm64): MIIPW_0.1.1.tgz, r-oldrel (arm64): MIIPW_0.1.1.tgz, r-release (x86_64): MIIPW_0.1.1.tgz, r-oldrel (x86_64): MIIPW_0.1.1.tgz |
| Old sources: | MIIPW archive |
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