Package: bcfrailph 0.1.1
Mesfin Tsegaye
bcfrailph: Semiparametric Bivariate Correlated Frailty Models Fit
Fit and simulate a semiparametric bivariate correlated frailty models with proportional hazard structure. Frailty distributions, such as gamma and lognormal models are supported. Bivariate gamma fit is obtained using the approach given in Iachine (1995) and lognormal fit is based on the approach by Ripatti and Palmgren (2000) <doi:10.1111/j.0006-341X.2000.01016.x>.
Authors:
bcfrailph_0.1.1.tar.gz
bcfrailph_0.1.1.tar.gz(r-4.5-noble)bcfrailph_0.1.1.tar.gz(r-4.4-noble)
bcfrailph_0.1.1.tgz(r-4.4-emscripten)bcfrailph_0.1.1.tgz(r-4.3-emscripten)
bcfrailph.pdf |bcfrailph.html✨
bcfrailph/json (API)
| # Install 'bcfrailph' in R: |
| install.packages('bcfrailph', repos = c('https://cran.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:4a2dabd87d. Checks:1 OK, 2 NOTE. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 25 2025 |
| R-4.5-linux | NOTE | Mar 25 2025 |
| R-4.4-linux | NOTE | Mar 25 2025 |
Exports:bcfrailphbcfrailph.controlfitbccv.gammaspfitbccv.lognspshrgamspsimbcfrailphsimstdybcf
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Semi-parametric bivariate correlated frailty model. | bcfrailph |
| Arguments for controlling bcfrailph fits. | bcfrailph.control |
| Bivariate correlated gamma frailty model fitting function. | fitbccv.gammasp |
| Bivariate correlated lognormal frailty model fitting function. | fitbccv.lognsp |
| Plot bcfrailph | plot.bcfrailph |
| Print bcfrailph | print.bcfrailph |
| Print shrgamsp | print.shrgamsp |
| Cox PH model with univariate and bivariate shared gamma frailty model. | shrgamsp |
| Simulate data from bivariate correlated frailty models. | simbcfrailph |
| Simulation study for bivariate correlated frailty models. | simstdybcf |
| Print bcfrailph | summary.bcfrailph |
| Print shrgamsp | summary.shrgamsp |