Package: swgee 1.4

swgee: Simulation Extrapolation Inverse Probability Weighted Generalized Estimating Equations

Simulation extrapolation and inverse probability weighted generalized estimating equations method for longitudinal data with missing observations and measurement error in covariates. References: Yi, G. Y. (2008) <doi:10.1093/biostatistics/kxm054>; Cook, J. R. and Stefanski, L. A. (1994) <doi:10.1080/01621459.1994.10476871>; Little, R. J. A. and Rubin, D. B. (2002, ISBN:978-0-471-18386-0).

Authors:Juan Xiong <[email protected]>, Grace Y. Yi <[email protected]>

swgee_1.4.tar.gz
swgee_1.4.zip(r-4.7)swgee_1.4.zip(r-4.6)swgee_1.4.zip(r-4.5)
swgee_1.4.tgz(r-4.6-any)swgee_1.4.tgz(r-4.5-any)
swgee_1.4.tar.gz(r-4.7-any)swgee_1.4.tar.gz(r-4.6-any)
swgee_1.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
swgee/json (API)

# Install 'swgee' in R:
install.packages('swgee', repos = c('https://jxiongszu.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • BMI - BMI dataset

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 3 scripts 234 downloads 1 exports 26 dependencies

Last updated from:17a9ffa4b9. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK115
source / vignettesOK150
linux-release-x86_64OK113
macos-release-arm64OK142
macos-oldrel-arm64OK154
windows-develOK73
windows-releaseOK69
windows-oldrelOK74
wasm-releaseOK90

Exports:swgee

Dependencies:backportsbroomclicpp11dplyrgeegeepackgenericsgluelifecyclemagrittrMASSmvtnormpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr