R Observatory: Metrics for pcsclr version 0.1.1

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

pcsclr

0.1.1

Progressive Censoring Schemes with Competitive Latent-Risk

0packages depend

99downloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Okechukwu J. ObuleziFirst published 2026-07-301 releasesCRAN page ↗

Implements simulation, numerical maximum likelihood estimation via fourth-order Runge-Kutta path optimization, and high-speed Bayesian Markov Chain Monte Carlo (MCMC) samplers for Weibull lifetimes under progressive censoring setups with competitive latent risks. Both point estimation and interval estimation are provided for the model parameters.

Install

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

install.packages("pcsclr", 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-pcsclr

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-pcsclr

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-pcsclr

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

Health

CRAN checks

13OK

Slowest check: 1.7 min · r-oldrel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

3

Dependencies · direct

Check history

OK2026-08-05
12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-07-31
6 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 292 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

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

Downloads

99

CRAN downloads in the past year

Rank #24,642 · ~0/day · ~8/mo

Releases R versions

Daily download trend is not available in this view yet.

9930 days

9990 days

991 year

Compare downloads with other packages →

Also on7 r2u

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (3)

graphicsRcppstats

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Maintainer (1)

Okechukwu J. Obulezi

Author, Maintainer

Authors (1)

Okechukwu J. Obulezi

Author, Maintainer

Package Timeline

1 release. R releases are shown for context.

0.1.1Latest
2026-07-30 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-07-30
Total releases: 1 / 1 yrs
License: MIT + file LICENSE OSI
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("pcsclr")

Format

Obulezi, O. J. (2026). pcsclr: Progressive Censoring Schemes with Competitive Latent-Risk (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.pcsclr

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 pcsclr version 0.1.1 [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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