R Observatory: Metrics for lnmixsurv version 3.1.7

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

lnmixsurv

3.1.7

Bayesian Mixture Log-Normal Survival Model

0packages depend

586downloads / year

78.0%test coverage

13/13checks pass

Overview

About

Maintained by Viviana das Graças Ribeiro LoboFirst published 2026-06-092 releasesCRAN page ↗

Bayesian Survival models via the mixture of Log-Normal distribution extends the well-known survival models and accommodates different behaviour over time and considers higher censored survival times. The proposal combines mixture distributions Fruhwirth-Schnatter(2006) doi:10.1007/s11336-009-9121-4, and data augmentation techniques Tanner and Wong (1987) doi:10.1080/01621459.1987.10478458.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

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

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

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-lnmixsurv

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# 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-lnmixsurv

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-lnmixsurv

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

Health

CRAN checks

13OK

Slowest check: 12.4 min · r-oldrel-windows-x86_64

Code health

Yes

Tests · ratio 0.36

78.0%

Coverage · measured lines

100%

Documentation · exports

15

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-06-09
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 392 wordsVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 99%
Return-value docs: 86%
References docs: 0%

Downloads

586

CRAN downloads in the past year

Rank #20,845 · ~2/day · ~49/mo

Releases R versions

Daily download trend is not available in this view yet.

16830 days

53590 days

5861 year

Compare downloads with other packages →

Also on377 r2u17 autocran

Repository

GitHub ↗ vivianalobo/lnmixsurv

2Stars

0Forks

4Open issues

0Open PRs

0Releases

261Commits

5Contributors

261 commits · Last activity 2026-06-08

Stars over time

2024-09-03 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

5 development-tooling and community-health practices detected across 4 families in the upstream repository

Checks run against github.com/vivianalobo/lnmixsurv on 2026-08-09.

Continuous integration (2)

GitHub ActionsGitLab CI

Reproducibility and dev environment (1)

data-raw/

Docs source (1)

README.Rmd

Coverage (1)

Codecov

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies

30 external dependencies (excludes base and recommended)

Depends (4)

R >= 4.1.0parsnipsurvivalggplot2

Imports (12)

statsposterior hardhat rlang generics dplyr tidyr tibble Rcpp RcppParallel tidyselect broom

LinkingTo (4)

Rcpp RcppArmadillo RcppGSL RcppParallel

Suggests (13)

ggsurvfit plotly bayesplot censored readr purrr knitr rmarkdown tidymodels testthat covr withr pec

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (5)

Maintainer (1)

Viviana das Graças Ribeiro Lobo

Maintainer

Authors (4)

Mariane Branco Alves

Author

Thaís Cristina Oliveira da Fonseca

Author

Victor Hugo Soares Ney

Author

Vitor Capdeville

Author

Listed in earlier versions (2)

Tha\u00eds Cristina Oliveira da Fonseca

no longer listed · 3.1.6 to 3.1.7

Viviana das Gra\u00e7as Ribeiro Lobo

no longer listed · 3.1.6 to 3.1.7

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

3.1.7Latest
2026-06-09 · current release · diff ↗
unarchivedReturned to CRAN
2026-06-08
R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2026-01-15
issues were not addressed in time
R
R 4.5.0 released · 2025-04-11
3.1.6
2024-09-03
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2026-06-09
Total releases: 2 / 1 yrs
License: MIT + file LICENSE OSI
Minimum R: ≥ 4.1.0
Bundled data: 78 KB / 1 file
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("lnmixsurv")

Format

Viviana das Graças Ribeiro Lobo, Mariane Branco Alves, Thaís Cristina Oliveira da Fonseca, Victor Hugo Soares Ney, & Vitor Capdeville. (2026). lnmixsurv: Bayesian Mixture Log-Normal Survival Model (Version 3.1.7) [Computer software]. https://doi.org/10.32614/CRAN.package.lnmixsurv

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 lnmixsurv version 3.1.7 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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