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MIGEE  

Impute Missing Values and Fitting Linear Mixed Effect Model
View on CRAN: Click here


Download and install MIGEE package within the R console
Install from CRAN:
install.packages("MIGEE")

Install from Github:
library("remotes")
install_github("cran/MIGEE")

Install by package version:
library("remotes")
install_version("MIGEE", "0.1.0")



Attach the package and use:
library("MIGEE")
Maintained by
Atanu Bhattacharjee
[Scholar Profile | Author Map]
First Published: 2024-12-05
Latest Update: 2024-12-05
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.
How to cite:
Atanu Bhattacharjee (2024). MIGEE: Impute Missing Values and Fitting Linear Mixed Effect Model. R package version 0.1.0, https://cran.r-project.org/web/packages/MIGEE. Accessed 20 Feb. 2025.
Previous versions and publish date:
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Other R packages that MIGEE depends, imports, suggests or enhances
Complete documentation for MIGEE
Functions, R codes and Examples using the MIGEE R package
Full MIGEE package functions and examples
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