Package: geess 1.0.1

geess: Modified Generalized Estimating Equations for Small-Sample Data

Analyze small-sample clustered or longitudinal data using modified generalized estimating equations with bias-adjusted covariance estimator. The package provides any combination of three modified generalized estimating equations and 11 bias-adjusted covariance estimators.

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

geess_1.0.1.tar.gz
geess_1.0.1.zip(r-4.7)geess_1.0.1.zip(r-4.6)geess_1.0.1.zip(r-4.5)
geess_1.0.1.tgz(r-4.6-any)geess_1.0.1.tgz(r-4.5-any)
geess_1.0.1.tar.gz(r-4.7-any)geess_1.0.1.tar.gz(r-4.6-any)
geess_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
geess/json (API)
NEWS

# Install 'geess' in R:

install.packages('geess', repos = c('https://rtishii.r-universe.dev', 'https://cloud.r-project.org'))

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

On CRAN:

3.18 score 5 scripts 420 downloads 2 exports 1 dependencies

Last updated from:699f5ad351. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	106
source / vignettes	OK	140
linux-release-x86_64	OK	101
macos-release-arm64	OK	149
macos-oldrel-arm64	OK	182
windows-devel	OK	73
windows-release	OK	66
windows-oldrel	OK	79
wasm-release	OK	90