Package: geessbin 1.0.0

Ryota Ishii

geessbin: Modified Generalized Estimating Equations for Binary Outcome

Analyze small-sample clustered or longitudinal data with binary outcome using modified generalized estimating equations (GEE) with bias-adjusted covariance estimator. The package provides any combination of three GEE methods and 12 covariance estimators.

Authors:Ryota Ishii [aut, cre], Tomohiro Ohigashi [ctb], Kazushi Maruo [ctb], Masahiko Gosho [ctb]

geessbin_1.0.0.tar.gz
geessbin_1.0.0.tar.gz(r-4.5-noble)geessbin_1.0.0.tar.gz(r-4.4-noble)
geessbin_1.0.0.tgz(r-4.4-emscripten)geessbin_1.0.0.tgz(r-4.3-emscripten)
geessbin.pdf |geessbin.html
geessbin/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/rtishii/geessbin/issues

Datasets:

1.70 score 6 scripts 157 downloads 3 exports 1 dependencies

Last updated 4 months agofrom:44bc3ec166. Checks:2 OK. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKJan 07 2025
R-4.5-linuxOKJan 07 2025

Exports:geessbingeessbin_allsqrtmat

Dependencies:MASS