Package: bcfrailphdv 0.1.1
Mesfin Tsegaye
bcfrailphdv: Bivariate Correlated Frailty Models with Varied Variances
Fit and simulate bivariate correlated frailty models with proportional hazard structure. Frailty distributions, such as gamma and lognormal models are supported for semiparametric procedures. Frailty variances of the two subjects can be varied or equal. Details on the models are available in book of Wienke (2011,ISBN:978-1-4200-7388-1). Bivariate gamma fit is obtained using the approach given in Iachine (1995) with modifications. Lognormal fit is based on the approach by Ripatti and Palmgren (2000) <doi:10.1111/j.0006-341X.2000.01016.x>. Frailty distributions, such as gamma, inverse gaussian and power variance frailty models are supported for parametric approach.
Authors:
bcfrailphdv_0.1.1.tar.gz
bcfrailphdv_0.1.1.tar.gz(r-4.5-noble)bcfrailphdv_0.1.1.tar.gz(r-4.4-noble)
bcfrailphdv_0.1.1.tgz(r-4.4-emscripten)bcfrailphdv_0.1.1.tgz(r-4.3-emscripten)
bcfrailphdv.pdf |bcfrailphdv.html✨
bcfrailphdv/json (API)
# Install 'bcfrailphdv' in R: |
install.packages('bcfrailphdv', 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:1109e107a4. Checks:OK: 1 NOTE: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 26 2024 |
R-4.5-linux | NOTE | Nov 26 2024 |
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Semi-parametric bivariate correlated frailty models fit. | bcfraildv |
Arguments for controlling bcfraildv fits. | bcfraildv.control |
Parametric bivariate correlated frailty models fit. | bcfrailpar |
Print bcfraildv | print.bcfraildv |
Print bcfrailpar | print.bcfrailpar |
Simulate data from bivariate correlated frailty models. | simbcfraildv |
Print bcfraildv | summary.bcfraildv |
Print bcfrailpar | summary.bcfrailpar |