Package: survivalMPL 0.2-3
Dominique-Laurent Couturier
survivalMPL: Penalised Maximum Likelihood for Survival Analysis Models
Estimate the regression coefficients and the baseline hazard of proportional hazard Cox models with left, right or interval censored survival data using maximum penalised likelihood. A 'non-parametric' smooth estimate of the baseline hazard function is provided.
Authors:
survivalMPL_0.2-3.tar.gz
survivalMPL_0.2-3.zip(r-4.5)survivalMPL_0.2-3.zip(r-4.4)survivalMPL_0.2-3.zip(r-4.3)
survivalMPL_0.2-3.tgz(r-4.4-any)survivalMPL_0.2-3.tgz(r-4.3-any)
survivalMPL_0.2-3.tar.gz(r-4.5-noble)survivalMPL_0.2-3.tar.gz(r-4.4-noble)
survivalMPL_0.2-3.tgz(r-4.4-emscripten)survivalMPL_0.2-3.tgz(r-4.3-emscripten)
survivalMPL.pdf |survivalMPL.html✨
survivalMPL/json (API)
NEWS
| # Install 'survivalMPL' in R: |
| install.packages('survivalMPL', repos = c('https://dlc48.r-universe.dev', 'https://cloud.r-project.org')) |
- bcos2 - Breast Cosmesis Data
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:d66e7b1cec. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Sep 16 2024 |
| R-4.5-win | NOTE | Sep 16 2024 |
| R-4.5-linux | NOTE | Sep 16 2024 |
| R-4.4-win | OK | Sep 16 2024 |
| R-4.4-mac | OK | Sep 16 2024 |
| R-4.3-win | OK | Sep 16 2024 |
| R-4.3-mac | OK | Sep 16 2024 |
Exports:coef.coxph_mplcoef.summary.coxph_mplcoxph_mplcoxph_mpl.controlplot.coxph_mplplot.predict.coxph_mplplot.residuals.coxph_mplpredict.coxph_mplprint.coxph_mplprint.summary.coxph_mplresiduals.coxph_mplsummary.coxph_mpl
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Penalised Maximum Likelihood for Survival Analysis Models | survivalMPL-package survivalMPL |
| Breast Cosmesis Data | bcos2 |
| Extract coefficients of a coxph_mpl Object or of its 'summary' | coef.coxph_mpl coef.summary.coxph_mpl |
| Fit Cox Proportional Hazards Regression Model Via MPL | coxph_mpl print.coxph_mpl |
| Ancillary arguments for controling coxph_mpl fits | coxph_mpl.control |
| MPL Proportional Hazards Regression Object | coxph_mpl.object |
| Plot a coxph_mpl Object | plot.coxph_mpl |
| Predictions for a Cox model | plot.predict.coxph_mpl predict.coxph_mpl |
| Residuals for a Cox model | plot.residuals.coxph_mpl residuals.coxph_mpl |
| Summarise a coxph_mpl Object | print.summary.coxph_mpl summary.coxph_mpl |