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
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MIGEE.pdf |MIGEE.html✨
MIGEE/json (API)

# Install 'MIGEE' in R:
install.packages('MIGEE', repos = c('https://atanubhattacharjee.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • logdata - Longitudinal clinical data for patients

On CRAN:

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

1.00 score 1 exports 102 dependencies

Last updated 21 days agofrom:57d89a44e4. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 06 2024
R-4.5-winOKDec 06 2024
R-4.5-linuxOKDec 06 2024
R-4.4-winOKDec 06 2024
R-4.4-macOKDec 06 2024
R-4.3-winOKDec 06 2024
R-4.3-macOKDec 06 2024

Exports:flexImputeModel

Dependencies:abindbackportsbitbit64bootbroomcarcarDataclassclicliprcodetoolscolorspacecowplotcpp11crayondata.tabledatawizardDEoptimRDerivdoBydplyre1071fansifarverforcatsforeachFormulagenericsggeffectsggplot2glmnetgluegtablehavenhmsinsightisobanditeratorsjomolabelinglaekenlatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicemicrobenchmarkminqamitmlmodelrmunsellnlmenloptrnnetnumDerivordinalpanpbkrtestpillarpkgconfigplyrprettyunitsprogressproxypurrrquantregR6rangerRColorBrewerRcppRcppEigenreadrreshape2rlangrobustbaserpartscalesshapespSparseMstringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vcdvctrsVIMviridisLitevroomwithrzoo