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extrafrail  

Estimation and Additional Tools for Alternative Shared Frailty Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("extrafrail", "1.14")



Attach the package and use:
library("extrafrail")
Maintained by
Diego Gallardo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-06-30
Latest Update: 2025-04-05
Description:
Provide estimation and data generation tools for some new multivariate frailty models. This version includes the gamma, inverse Gaussian, weighted Lindley, Birnbaum-Saunders, truncated normal and mixture of inverse Gaussian as the distribution for the frailty terms. For the basal model, it is considered a parametric approach based on the exponential, Weibull and the piecewise exponential distributions as well as a semiparametric approach. For details, see Gallardo and Bourguignon (2022) .
How to cite:
Diego Gallardo (2022). extrafrail: Estimation and Additional Tools for Alternative Shared Frailty Models. R package version 1.14, https://cran.r-project.org/web/packages/extrafrail. Accessed 28 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:37), 1.0 (2022-06-30 08:10), 1.1 (2022-08-06 08:40), 1.2 (2022-09-26 23:10), 1.3 (2023-01-29 22:10), 1.4 (2023-03-29 18:40), 1.5 (2023-04-06 05:03), 1.6 (2023-05-16 00:10), 1.7 (2023-08-09 23:30), 1.8 (2023-09-26 18:10), 1.9 (2024-03-17 04:20), 1.10 (2024-06-16 17:10), 1.11 (2024-09-02 10:10), 1.12 (2024-09-23 04:30), 1.13 (2025-04-05 17:10)
Other packages that cited extrafrail R package
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Other R packages that extrafrail depends, imports, suggests or enhances
Complete documentation for extrafrail
Functions, R codes and Examples using the extrafrail R package
Some associated functions: baseCH . frailty.fit . rWL . tools.extrafrail . 
Some associated R codes: baseCH.R . frailty.fit.R . print.extrafrail.R . rWL.R . summary.extrafrail.R .  Full extrafrail package functions and examples
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