Package: linERR 1.0
David Moriña Soler
linERR: Linear Excess Relative Risk Model
Fits a linear excess relative risk model by maximum likelihood, possibly including several variables and allowing for lagged exposures.
Authors:
linERR_1.0.tar.gz
linERR_1.0.tar.gz(r-4.5-noble)linERR_1.0.tar.gz(r-4.4-noble)
linERR_1.0.tgz(r-4.4-emscripten)linERR_1.0.tgz(r-4.3-emscripten)
linERR.pdf |linERR.html✨
linERR/json (API)
| # Install 'linERR' in R: |
| install.packages('linERR', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Datasets:
- cohort1 - Simulated cohort data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:f70b13ff93. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 23 2024 |
| R-4.5-linux-x86_64 | OK | Dec 23 2024 |
Exports:ERRcifit.linERRllhoodplot.fit.linERRprint.summary.fit.linERRsummary.fit.linERR
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Fits the linear excess relative risk model | linERR-package linERR |
| Simulated cohort data | cohort1 |
| Profile likelihood based confidence intervals | ERRci |
| Fits linear ERR model | fit.linERR |