Package: vsmi 0.1.0
Haoyu Yang
vsmi: Variable Selection for Multiple Imputed Data
Penalized weighted least-squares estimate for variable selection on correlated multiply imputed data and penalized estimating equations for generalized linear models with multiple imputation. Reference: Li, Y., Yang, H., Yu, H., Huang, H., Shen, Y*. (2023) "Penalized estimating equations for generalized linear models with multiple imputation", <doi:10.1214/22-AOAS1721>. Li, Y., Yang, H., Yu, H., Huang, H., Shen, Y*. (2023) "Penalized weighted least-squares estimate for variable selection on correlated multiply imputed data", <doi:10.1093/jrsssc/qlad028>.
Authors:
vsmi_0.1.0.tar.gz
vsmi_0.1.0.tar.gz(r-4.5-noble)vsmi_0.1.0.tar.gz(r-4.4-noble)
vsmi_0.1.0.tgz(r-4.4-emscripten)vsmi_0.1.0.tgz(r-4.3-emscripten)
vsmi.pdf |vsmi.html✨
vsmi/json (API)
| # Install 'vsmi' in R: |
| install.packages('vsmi', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:f7e56fb0c7. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 22 2024 |
| R-4.5-linux | OK | Dec 22 2024 |
Exports:generate_pee_missing_datagenerate_pwls_missing_dataPEEPWLS
Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrfansiforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrqifR6RcppRcppEigenreadrrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generate example data for PEE | generate_pee_missing_data |
| Generate example data for PWLS | generate_pwls_missing_data |
| Penalized estimating equations for generalized linear models with multiple imputation | PEE |
| Penalized weighted least-squares estimate for variable selection on correlated multiply imputed data | PWLS |
| vsmi: Variable selection for multiple imputed data | vsmi-package vsmi |