Package: gim 0.34.2

gim: Generalized Integration Model

Implements the generalized integration model, which integrates individual-level data and summary statistics under a generalized linear model framework. It supports continuous and binary outcomes to be modeled by the linear and logistic regression models. For binary outcome, data can be sampled in prospective cohort studies or case-control studies. Described in Zhang et al. (2020)<doi:10.1093/biomet/asaa014>.

Authors:Han Zhang, Kai Yu

gim_0.34.2.tar.gz
gim_0.34.2.zip(r-4.7-any)gim_0.34.2.zip(r-4.6-any)gim_0.34.2.zip(r-4.5-any)
gim_0.34.2.tgz(r-4.6-any)gim_0.34.2.tgz(r-4.5-any)
gim_0.34.2.tar.gz(r-4.7-any)gim_0.34.2.tar.gz(r-4.6-any)
gim_0.34.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
gim/json (API)

# Install 'gim' in R:

install.packages('gim', repos = c('https://zhangh12.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/zhangh12/gim/issues

Datasets:

dat - Data for example in 'gim'

On CRAN:

3.00 score 6 scripts 278 downloads 1 exports 1 dependencies

Last updated from:f8ebca8e67. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel	OK	99
source / vignettes	OK	182
linux-release	OK	107
macos-release	OK	134
macos-oldrel	OK	90
windows-devel	OK	82
windows-release	OK	61
windows-oldrel	OK	79
wasm-release	OK	77