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:Mingyue Zhang [aut], Yang Li [aut], Haoyu Yang [aut, cre]

vsmi_0.1.0.tar.gz
vsmi_0.1.0.tar.gz(r-4.7-any)vsmi_0.1.0.tar.gz(r-4.6-any)
vsmi_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
vsmi/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 180 downloads 4 exports 63 dependencies

Last updated from:f7e56fb0c7. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK129
source / vignettesOK198
linux-release-x86_64OK150
wasm-releaseOK120

Exports:generate_pee_missing_datagenerate_pwls_missing_dataPEEPWLS

Dependencies:backportsbitbit64bootbroomclicliprcodetoolscpp11crayondplyrforcatsforeachgenericsglmnetgluehavenhmsiteratorsjomolatticelifecyclelme4magrittrMASSMatrixmiceminqamitmlnlmenloptrnnetnumDerivordinalpanpillarpkgconfigprettyunitsprogresspurrrqifR6rbibutilsRcppRcppEigenRdpackreadrreformulasrlangrpartshapestringistringrsurvivaltibbletidyrtidyselecttzdbucminfutf8vctrsvroomwithr