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bcfrailphdv  

Bivariate Correlated Frailty Models with Varied Variances
View on CRAN: Click here


Download and install bcfrailphdv package within the R console
Install from CRAN:
install.packages("bcfrailphdv")

Install from Github:
library("remotes")
install_github("cran/bcfrailphdv")

Install by package version:
library("remotes")
install_version("bcfrailphdv", "0.1.1")



Attach the package and use:
library("bcfrailphdv")
Maintained by
Mesfin Tsegaye
[Scholar Profile | Author Map]
First Published: 2020-11-30
Latest Update: 2022-12-14
Description:
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) . Frailty distributions, such as gamma, inverse gaussian and power variance frailty models are supported for parametric approach.
How to cite:
Mesfin Tsegaye (2020). bcfrailphdv: Bivariate Correlated Frailty Models with Varied Variances. R package version 0.1.1, https://cran.r-project.org/web/packages/bcfrailphdv. Accessed 05 Apr. 2025.
Previous versions and publish date:
0.1.0 (2020-11-30 10:30)
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Complete documentation for bcfrailphdv
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