Package: LassoGEE 1.0

Yaguang Li

LassoGEE: High-Dimensional Lasso Generalized Estimating Equations

Fits generalized estimating equations with L1 regularization to longitudinal data with high dimensional covariates. Use a efficient iterative composite gradient descent algorithm.

Authors:Yaguang Li, Xin Gao, Wei Xu

LassoGEE_1.0.tar.gz
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LassoGEE.pdf |LassoGEE.html✨
LassoGEE/json (API)

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

Bug tracker:https://github.com/liygcr/lassogee/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

On CRAN:

Conda-Forge:

openblascppopenmp

2.70 score 582 downloads 3 exports 81 dependencies

Last updated 4 years agofrom:dbe40d2d1d. Checks:1 OK, 11 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 06 2025
R-4.5-win-x86_64NOTEMar 06 2025
R-4.5-mac-x86_64NOTEMar 06 2025
R-4.5-mac-aarch64NOTEMar 06 2025
R-4.5-linux-x86_64NOTEMar 06 2025
R-4.4-win-x86_64NOTEMar 06 2025
R-4.4-mac-x86_64NOTEMar 06 2025
R-4.4-mac-aarch64NOTEMar 06 2025
R-4.4-linux-x86_64NOTEMar 06 2025
R-4.3-win-x86_64NOTEMar 06 2025
R-4.3-mac-x86_64NOTEMar 06 2025
R-4.3-mac-aarch64NOTEMar 06 2025

Exports:cv.LassoGEEICLassoGEE

Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071evdfansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellmvtnormnlmennetnumDerivparallellyPGEEpillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppArmadillorecipesreshape2rlangrpartscalesshapeSimCorMultRessparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr