Package: lbreg 1.3
Bernardo Andrade
lbreg: Log-Binomial Regression with Constrained Optimization
Maximum likelihood estimation of log-binomial regression with special functionality when the MLE is on the boundary of the parameter space.
Authors:
lbreg_1.3.tar.gz
lbreg_1.3.tar.gz(r-4.5-noble)lbreg_1.3.tar.gz(r-4.4-noble)
lbreg_1.3.tgz(r-4.4-emscripten)lbreg_1.3.tgz(r-4.3-emscripten)
lbreg.pdf |lbreg.html✨
lbreg/json (API)
NEWS
| # Install 'lbreg' in R: |
| install.packages('lbreg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:2681416b2b. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 26 2024 |
| R-4.5-linux | OK | Oct 26 2024 |
Exports:HL_testlbregpredict.lbregrelrisk
Dependencies:MASS
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Log-Binomial Regression with Constrained Optimization | lbreg-package |
| Birth Weight Data | Birth |
| Caesarian Infection Dataset | Caesarian |
| Death Penalty Data | Death |
| Evans County dataset | Evans |
| Heart Dataset | Heart |
| Hosmer-Lemeshow Goodness of Fit Test | HL_test |
| Log-Binomial regression | lbreg |
| PCS Dataset | PCS |
| Predict method for Log-Binomial regression. | predict.lbreg |
| Regression Adjusted Relative Risks | relrisk |