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Fit joint mean-covariance models for longitudinal data within the framework of (weighted) generalised estimating equations (GEE/WGEE). The models and their components are represented using S4 classes and methods. The core computational algorithms are implemented using the 'Armadillo' C++ library for numerical linear algebra and 'RcppArmadillo' glue.

Type Size Name Uploaded Downloads Labels
conda 357.4 kB | win-64/r-gee4-0.1.0.0-r36h796a38f_0.tar.bz2  5 years and 1 month ago 1 main
conda 365.8 kB | osx-64/r-gee4-0.1.0.0-r36h466af19_0.tar.bz2  5 years and 1 month ago 1 main
conda 364.4 kB | linux-64/r-gee4-0.1.0.0-r36h29659fb_0.tar.bz2  5 years and 1 month ago 0 main

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