Package: LqG 0.1.0
LqG: Robust Group Variable Screening Based on Maximum Lq-Likelihood Estimation
Produces a group screening procedure that is based on maximum Lq-likelihood estimation, to simultaneously account for the group structure and data contamination in variable screening. The methods are described in Li, Y., Li, R., Qin, Y., Lin, C., & Yang, Y. (2021) Robust Group Variable Screening Based on Maximum Lq-likelihood Estimation. Statistics in Medicine, 40:6818-6834.<doi:10.1002/sim.9212>.
Authors:
LqG_0.1.0.tar.gz
LqG_0.1.0.zip(r-4.7-any)LqG_0.1.0.zip(r-4.6-any)LqG_0.1.0.zip(r-4.5-any)
LqG_0.1.0.tgz(r-4.6-any)LqG_0.1.0.tgz(r-4.5-any)
LqG_0.1.0.tar.gz(r-4.7-any)LqG_0.1.0.tar.gz(r-4.6-any)
LqG_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
LqG/json (API)
| # Install 'LqG' in R: |
| install.packages('LqG', repos = c('https://lirong95.r-universe.dev', 'https://cloud.r-project.org')) |
- LqG_SimuData - An Example of Simulated Data for LqG
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:8cc52d9d4e. Checks:7 NOTE, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 130 | ||
| source / vignettes | OK | 197 | ||
| linux-release | NOTE | 91 | ||
| macos-release | NOTE | 162 | ||
| macos-oldrel | NOTE | 160 | ||
| windows-devel | NOTE | 59 | ||
| windows-release | NOTE | 57 | ||
| windows-oldrel | NOTE | 57 | ||
| wasm-release | OK | 85 |
Exports:grsc.marg.MLqEgrsc.MLqEMLqE.est
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Group Screening based on marginal Maximum Lq-likelihood Estimation | grsc.marg.MLqE |
| Group Screening based on Maximum Lq-likelihood Estimation | grsc.MLqE |
| An Example of Simulated Data for LqG | LqG_SimuData |
| Maximum Lq-likelihood Estimation | MLqE.est |