Package: MIGEE 0.1.0

MIGEE: Impute Missing Values and Fitting Linear Mixed Effect Model

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.

Authors:Atanu Bhattacharjee [aut, cre, ctb], Gajendra Kumar Vishwakarma [aut, ctb], Neelesh Kumar [aut, ctb]

MIGEE_0.1.0.tar.gz
MIGEE_0.1.0.zip(r-4.7-any)MIGEE_0.1.0.zip(r-4.6-any)MIGEE_0.1.0.zip(r-4.5-any)
MIGEE_0.1.0.tgz(r-4.6-any)MIGEE_0.1.0.tgz(r-4.5-any)
MIGEE_0.1.0.tar.gz(r-4.7-any)MIGEE_0.1.0.tar.gz(r-4.6-any)
MIGEE_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
MIGEE/json (API)

# Install 'MIGEE' in R:
install.packages('MIGEE', repos = c('https://atanubhattacharjee.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • logdata - Longitudinal clinical data for patients

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 228 downloads 1 exports 135 dependencies

Last updated from:57d89a44e4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK220
source / vignettesOK292
linux-release-x86_64OK206
macos-release-arm64OK111
macos-oldrel-arm64OK103
windows-develOK151
windows-releaseOK124
windows-oldrelOK144
wasm-releaseOK137

Exports:flexImputeModel

Dependencies:abindbackportsbbotkbitbit64bootbroomcarcarDatacheckmateclassclicliprcodetoolscolorspacecowplotcpp11crayondata.tabledatawizardDEoptimRDerivdigestdoBydplyre1071evaluatefarverforcatsforeachforecastFormulafracdifffuturefuture.applygenericsggeffectsggplot2glmnetglobalsgluegtablehavenhmsinsightisobanditeratorsjomojsonlitelabelinglaekenlatticelgrlifecyclelistenvlme4lmtestmagrittrMASSMatrixMatrixModelsmatrixStatsmgcvmiceminqamiraimitmlmlbenchmlr3mlr3learnersmlr3measuresmlr3miscmlr3pipelinesmlr3tuningmodelrmoocorenanonextnlmenloptrnnetnumDerivordinalpalmerpenguinspanparadoxparallellypbkrtestpillarpkgconfigplyrprettyunitsprogressproxyPRROCpurrrquantregR6rangerrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasreshape2rlangrobustbaserpartS7scalesshapespSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetzdbucminfurcautf8uuidvcdvctrsVIMviridisLitevroomwithrxgboostzoo