Package: blm 2022.0.0.1
blm: Binomial Linear Regression
Implements regression models for binary data on the absolute risk scale. These models are applicable to cohort and population-based case-control data.
Authors:
blm_2022.0.0.1.tar.gz
blm_2022.0.0.1.zip(r-4.5)blm_2022.0.0.1.zip(r-4.4)blm_2022.0.0.1.zip(r-4.3)
blm_2022.0.0.1.tgz(r-4.4-any)blm_2022.0.0.1.tgz(r-4.3-any)
blm_2022.0.0.1.tar.gz(r-4.5-noble)blm_2022.0.0.1.tar.gz(r-4.4-noble)
blm_2022.0.0.1.tgz(r-4.4-emscripten)blm_2022.0.0.1.tgz(r-4.3-emscripten)
blm.pdf |blm.html✨
blm/json (API)
NEWS
# Install 'blm' in R: |
install.packages('blm', repos = c('https://skoval.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:84ebcf2694. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 15 2024 |
R-4.5-win | OK | Oct 15 2024 |
R-4.5-linux | OK | Oct 15 2024 |
R-4.4-win | OK | Oct 15 2024 |
R-4.4-mac | OK | Oct 15 2024 |
R-4.3-win | OK | Oct 15 2024 |
R-4.3-mac | OK | Oct 15 2024 |
Exports:blmcoefconfintcrude.riskEOexpitgofgof.pearsonlexpitlogitlogLikLRTmodel.formulapredictresidrisk.exposure.plotRsquaredshowsummaryvcovwhich.at.boundary
Dependencies: