Skip to content

exnexSurv

1.3.0Package record

Bayesian EXNEX Models for Survival Analysis in Basket Trials

0packages depend
446downloads / year
87.6%test coverage
13/13flavors OK

Overview

About

Implements the Bayesian Exchangeable Non-Exchangeable (EXNEX) framework for right-censored log-normal survival data in basket trials. Based on 'Rcpp' and 'RcppArmadillo', the package provides a fast Gibbs sampler supporting EXNEX, complete pooling, and no pooling models to facilitate methodological comparisons and simulation studies.

Changes in 1.3.0
  • New inference and model-selection tools (all in pure R, no changes to the validated C++ sampler):
  • survival_curves() computes posterior survival curves S(t) (with plot.survival_exnex() for plotting);
  • median_survival() returns posterior median survival times;
  • rmst() returns the restricted mean survival time up to a horizon;
  • compute_waic()/compare_waic() provide WAIC model comparison;
  • probability_superiority() estimates the posterior probability that one group beats another on median, survival probability, or RMST;
  • simulate_data() generates log-normal basket-trial datasets (with resistant baskets) for studies and examples.
  • New vignette *Tools for Experimenters* covering these utilities.

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 4.2 min · r-devel-windows-x86_64
Status changes
  • OK13 OKNow
  • OK6 OK2026-09-11
Advisories

none known

Documentation

In release 1.3.0
READMEYes · 116 wordsVignettesYes · 5 · dynamicNEWSYes · 100% structured · mentions 1.3.0Citation fileNoWebsiteYes · pkgdown
Help pages
22 (10 internal)includes a package overview page
Examples that run
100%1 run in a plain check
Exported functions with examples
13%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
5%

Downloads

446
CRAN downloads in the past year
Rank #24,946 · ~1/day · ~37/mo
Daily download trend is not available in this view yet.
23630 days
44690 days
4461 year
Compare downloads with other packages →
Also on18 r2u4 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
Last activity 2026-09-12 · Default branch at 1.4.0, ahead of CRAN 1.3.0 (checked 2026-10-21)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
not measured
PracticesBeta

6 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/victorney/exnexsurv on 2026-10-21.

Continuous integration (2)
GitHub ActionsR CMD check workflow

The R CMD check workflow runs on Linux, macOS and Windows, and on R-devel

Docs source (3)
pkgdown

GitHub Pages site last deployed 2026-09-12 · The repository has a site deploy workflow

pkgdown site last built 2026-09-12

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing exnexSurv adds 16 packages (12 with compiled code, 7.8 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, vctrs 1.0 MB.

Depends (0)
none
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (1)
Author, Maintainer since 1.3.0 (2026)
Releases (1)
  • 1.3.0Latest
    2026-09-10 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-09-10
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
291 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("exnexSurv")
Ney, V. (2026). exnexSurv: Bayesian EXNEX Models for Survival Analysis in Basket Trials (Version 1.3.0) [Computer software]. https://doi.org/10.32614/CRAN.package.exnexSurv

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for exnexSurv version 1.3.0 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy