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:
gim_0.34.2.tar.gz
gim_0.34.2.zip(r-4.5)gim_0.34.2.zip(r-4.4)gim_0.34.2.zip(r-4.3)
gim_0.34.2.tgz(r-4.4-any)gim_0.34.2.tgz(r-4.3-any)
gim_0.34.2.tar.gz(r-4.5-noble)gim_0.34.2.tar.gz(r-4.4-noble)
gim_0.34.2.tgz(r-4.4-emscripten)gim_0.34.2.tgz(r-4.3-emscripten)
gim.pdf |gim.html✨
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
- dat - Data for example in 'gim'
Last updated 3 years agofrom:f8ebca8e67. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 12 2024 |
| R-4.5-win | OK | Nov 12 2024 |
| R-4.5-linux | OK | Nov 12 2024 |
| R-4.4-win | OK | Nov 12 2024 |
| R-4.4-mac | OK | Nov 12 2024 |
| R-4.3-win | OK | Nov 12 2024 |
| R-4.3-mac | OK | Nov 12 2024 |
Exports:gim
Dependencies:numDeriv
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Generalized Integration Model | gim-package |
| Data for example in 'gim' | dat |
| Fitting Generalized Integration Models | gim |
