geeVerse: A Comprehensive Analysis of High Dimensional Longitudinal Data
To provide a comprehensive analysis of high dimensional longitudinal
data,this package provides analysis for any combination of 1) simultaneous
variable selection and estimation, 2) mean regression or quantile regression
for heterogeneous data, 3) cross-sectional or longitudinal data, 4) balanced
or imbalanced data, 5) moderate, high or even ultra-high dimensional data,
via computationally efficient implementations of penalized generalized
estimating equations.
| Version: |
0.3.1 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
mvtnorm, quantreg, Rcpp (≥ 0.10.2), doParallel, foreach, MASS |
| LinkingTo: |
Rcpp, RcppEigen |
| Suggests: |
methods |
| Published: |
2025-10-13 |
| DOI: |
10.32614/CRAN.package.geeVerse |
| Author: |
Tianhai Zu [aut, cre],
Brittany Green [aut, ctb],
Yan Yu [aut, ctb] |
| Maintainer: |
Tianhai Zu <zuti at mail.uc.edu> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| Materials: |
README |
| CRAN checks: |
geeVerse results |
Documentation:
Downloads:
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