Package: MIIPW
Type: Package
Title: IPW and Mean Score Methods for Time-Course Missing Data
Version: 0.1.2
Authors@R: c(person(("Atanu"), "Bhattacharjee",
                    email="atanustat@gmail.com",
	            role=c("aut", "cre","ctb")),
               person(("Bhrigu Kumar"), "Rajbongshi", role=c("aut","ctb")),
               person(("Gajendra K"), "Vishwakarma", role=c("aut","ctb")))
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Description: 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>.
Imports: mice,Matrix,MASS
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10), lme4, spatstat
RoxygenNote: 7.3.2
NeedsCompilation: no
Author: Atanu Bhattacharjee [aut, cre, ctb],
  Bhrigu Kumar Rajbongshi [aut, ctb],
  Gajendra K Vishwakarma [aut, ctb]
Repository: CRAN
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Packaged: 2025-04-16 04:56:43 UTC; bhrigu
Date/Publication: 2025-04-21 19:10:02 UTC
Built: R 4.6.0; ; 2026-04-30 20:47:22 UTC; unix
