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 (>= 4.1.0)
NeedsCompilation: no
Packaged: 2026-07-03 15:00:04 UTC; root
Config/pak/sysreqs: cmake make libicu-dev libx11-dev zlib1g-dev
Repository: https://atanubhattacharjee.r-universe.dev
Date/Publication: 2024-12-05 18:50:09 UTC
RemoteUrl: https://github.com/cran/MIGEE
RemoteRef: HEAD
RemoteSha: 57d89a44e4a50c988af861f761fadd8f178932dc