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:
LassoGEE_1.0.tar.gz
LassoGEE_1.0.tar.gz(r-4.5-noble)LassoGEE_1.0.tar.gz(r-4.4-noble)
LassoGEE_1.0.tgz(r-4.4-emscripten)LassoGEE_1.0.tgz(r-4.3-emscripten)
LassoGEE.pdf |LassoGEE.html✨
LassoGEE/json (API)
| # Install 'LassoGEE' in R: |
| install.packages('LassoGEE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/liygcr/lassogee/issues
Last updated 4 years agofrom:94b4a9cff0. Checks:OK: 1 NOTE: 1. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 10 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 10 2024 |
Exports:cv.LassoGEEICLassoGEE
Dependencies:caretclasscliclockcodetoolscolorspacecpp11data.tablediagramdigestdplyre1071evdfansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellmvtnormnlmennetnumDerivparallellyPGEEpillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcppRcppArmadillorecipesreshape2rlangrpartscalesshapeSimCorMultResSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Cross-validation for LassoGEE. | cv.LassoGEE |
| Information Criterion for selecting the tuning parameter. | IC |
| Function to fit penalized GEE by I-CGD algorithm. | LassoGEE |
| print a cross-validated LassoGEE object | print.cv.LassoGEE |
| print a LassoGEE object | print.LassoGEE |