R Observatory: Metrics for MultiFrailty version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

MultiFrailty

0.1.0

Shared Frailty Regression Models with Inverse Gaussian, Generalized Lindley, and Gamma Frailty Distributions

0packages depend

41downloads / year

67.8%test coverage

9/9checks pass

Overview

About

Maintained by Shikhar TyagiFirst published 2026-08-081 releasesCRAN page ↗

Implements shared frailty regression models for survival data under eight censoring mechanisms: exact, right censoring (Kalbfleisch and Prentice, 2002), left censoring, interval censoring (Sun, 2006), progressive Type I censoring, and progressive Type II censoring (Balakrishnan and Aggarwala, 2000 doi:10.1007/978-1-4612-1334-5). Combines four frailty distributions -- Gamma (Clayton, 1978), Inverse Gaussian (Hougaard, 1984), and two variants of the Generalized Lindley (GL) distribution: GL Type 1, a two-component gamma mixture with distribution-specific scale/shape linkage (Pandey, Hanagal, and Tyagi, 2022), and GL Type 2, a two-component gamma mixture with a common rate parameter (Pandey and Tyagi, 2021 doi:10.1134/S1995080222010140) -- with two baseline hazard distributions: the two-parameter Weibull distribution (Weibull, 1951) and the three-parameter Generalized (Exponentiated) Weibull distribution (Mudholkar and Srivastava, 1993 doi:10.1109/24.229504). A no-frailty baseline-only model is also supported for nested model comparison. Maximum likelihood estimation is conducted using Newton-Raphson and Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithms via the 'maxLik' package (Henningsen and Toomet, 2011 doi:10.1007/s00180-010-0217-1). Provides standard errors, confidence intervals, hypothesis tests, Akaike Information Criterion (AIC, Akaike, 1974 doi:10.1109/TAC.1974.1100705), Bayesian Information Criterion (BIC, Schwarz, 1978 doi:10.1214/aos/1176344136), corrected Akaike Information Criterion (AICc, Hurvich and Tsai, 1989), Hannan-Quinn Information Criterion (HQIC, Hannan and Quinn, 1979), a bootstrap approximation of the Widely Applicable Information Criterion (WAIC, Watanabe, 2010), k-fold cross-validation, frailty variance estimation, survival, hazard, median, risk, and marginal predictions, Cox-Snell (Cox and Snell, 1968), martingale (Barlow and Prentice, 1988), and deviance residuals with a Kolmogorov-Smirnov goodness-of-fit test, influence diagnostics (leverage, Cook's distance, difference in fits (DFFITS), difference in betas (DFBETAS); Belsley, Kuh, and Welsch, 1980), random data generation under all eight censoring mechanisms, a Monte Carlo simulation-study function, and a diagnostic and survival plotting suite.

Install

R (CRAN)Fedora (COPR)openSUSE (OBS)

install.packages("MultiFrailty", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-MultiFrailty

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-MultiFrailty

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

9OK

Slowest check: 2.6 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.16

67.8%

Coverage · measured lines

100%

Documentation · exports

7

Dependencies · direct

Check history

OK2026-08-08
6 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 246 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 94%
Documented parameters: 98%
Return-value docs: 100%
References docs: 41%

Downloads

41

CRAN downloads in the past year

Rank #24,856 · ~0/day · ~3/mo

MultiFrailty Releases R versions

Daily download trend is not available in this view yet.

4130 days

4190 days

411 year

Compare downloads with other packages →

Dependencies

Declared dependencies

5 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (7)

survivalmaxLik numDerivstatsgraphicsgrDevicesutils

LinkingTo (0)

none

Suggests (3)

testthat knitr rmarkdown

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (4)

Maintainer (1)

Shikhar Tyagi

Author, Maintainer

Authors (4)

Author, Maintainer

Author

Author

Author

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-08-08 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-08
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.0.0
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("MultiFrailty")

Format

Tyagi, S., Pandey, A., Singh, B., & Tripathi, V. (2026). MultiFrailty: Shared Frailty Regression Models with Inverse Gaussian, Generalized Lindley, and Gamma Frailty Distributions (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.MultiFrailty

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MultiFrailty version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-11. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-11, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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