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)MIGEE_0.1.0.zip(r-4.6)MIGEE_0.1.0.zip(r-4.5)
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✨
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 166 downloads 1 exports 134 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK189
source / vignettesOK234
linux-release-x86_64OK167
macos-release-arm64OK122
macos-oldrel-arm64OK120
windows-develOK129
windows-releaseOK137
windows-oldrelOK122
wasm-releaseOK137

Exports:flexImputeModel

Dependencies:abindbackportsbbotkbitbit64bootbroomcarcarDatacheckmateclassclicliprcodetoolscolorspacecowplotcpp11crayondata.tabledatawizardDEoptimRDerivdigestdoBydplyre1071evaluatefarverforcatsforeachforecastFormulafracdifffuturefuture.applygenericsggeffectsggplot2glmnetglobalsgluegtablehavenhmsinsightisobanditeratorsjomojsonlitelabelinglaekenlatticelgrlifecyclelistenvlme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicemicrobenchmarkminqamiraimitmlmlbenchmlr3mlr3learnersmlr3measuresmlr3miscmlr3pipelinesmlr3tuningmodelrnanonextnlmenloptrnnetnumDerivordinalpalmerpenguinspanparadoxparallellypbkrtestpillarpkgconfigplyrprettyunitsprogressproxyPRROCpurrrquantregR6rangerrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreadrreformulasreshape2rlangrobustbaserpartS7scalesshapespSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetzdbucminfurcautf8uuidvcdvctrsVIMviridisLitevroomwithrxgboostzoo