Package: MIGEE
Type: Package
Title: Impute Missing Values and Fitting Linear Mixed Effect Model
Version: 0.1.0
Authors@R: c(person(("Atanu"), "Bhattacharjee",
        email="atanustat@gmail.com", role=c("aut", "cre","ctb")),
        person(("Gajendra Kumar"), "Vishwakarma", role=c("aut","ctb")),
        person(("Neelesh"), "Kumar", role=c("aut","ctb")))
Maintainer: Atanu Bhattacharjee <atanustat@gmail.com>
Description: Implements methods for estimating generalized estimating equations (GEE) with advanced options for flexible modeling and handling missing data. This package provides tools to fit and analyze GEE models for longitudinal data, allowing users to address missingness using a variety of imputation techniques. It supports both univariate and multivariate modeling, visualization of missing data patterns, and facilitates the transformation of data for efficient statistical analysis. Designed for researchers working with complex datasets, it ensures robust estimation and inference in longitudinal and clustered data settings.
License: GPL-3
Encoding: UTF-8
LazyData: true
LazyDataCompression: xz
ByteCompile: Yes
Author: Atanu Bhattacharjee [aut, cre, ctb],
  Gajendra Kumar Vishwakarma [aut, ctb],
  Neelesh Kumar [aut, ctb]
Imports: mice,VIM,ggplot2,lme4,ggeffects,dplyr,readr,reshape2
RoxygenNote: 7.3.2
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2024-12-03 23:34:04 UTC; atanubhattacharjee
Repository: CRAN
Date/Publication: 2024-12-05 18:50:09 UTC
Built: R 4.6.0; ; 2026-05-01 02:01:04 UTC; unix
