R Observatory: Metrics for UniIS version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

UniIS

0.1.0

Importance Sampling Inference for Censored Univariate Data

0packages depend

23downloads / year

73.7%test coverage

10/10checks pass

Overview

About

Maintained by Shikhar TyagiFirst published 2026-08-061 releasesCRAN page ↗

Distribution-independent framework for importance-sampling inference with univariate observations subject to censoring or truncation. Users provide probability functions and a proposal over model parameters. Constructs observed-data likelihood contributions, computes numerically stable importance weights, and supplies posterior, likelihood, predictive, diagnostic, and model-comparison summaries. Covers complete, right, left, interval, Type-I, Type-II, progressive Type-II, first-failure, progressive first-failure, doubly Type-II, middle-censored, and left/right-truncated data. Methods for importance sampling and censoring schemes are described in Geweke (1989) doi:10.2307/2290062, Hesterberg (1995) doi:10.1080/00031305.1995.10476138, Robert and Casella (2004, ISBN:978-0-387-21617-1), Kundu and Joarder (2006) doi:10.1016/j.csda.2005.05.002, Banerjee and Kundu (2008) doi:10.1109/TR.2008.916890, Iyer, Jammalamadaka, and Kundu (2008) doi:10.1016/j.jspi.2007.03.062, Wu and Kus (2009) doi:10.1016/j.csda.2009.03.010, Prajapati, Mitra, and Kundu (2019) doi:10.1007/s13571-018-0167-0, Mondal and Kundu (2020) doi:10.1080/03610926.2018.1554128, Balakrishnan and Aggarwala (2000, ISBN:980-1-4612-1334-5), Ding and Gui (2023) doi:10.3390/math11092003, Nagar, Kumar, and Krishna (2026) doi:10.59467/IJASS.2026.22.1, Goel and Krishna (2026) doi:10.1007/s13198-026-03208-w, Yadav, Jaiswal, and Yadav (2026) doi:10.1007/s11135-026-02647-8, and Goel, Kumar, and Krishna (2026, "Estimation in power Lindley distributions using balanced joint progressively Type-II censored data").

Install

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

install.packages("UniIS", 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-UniIS

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-UniIS

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

Health

CRAN checks

10OK

Slowest check: 1.5 min · r-release-windows-x86_64

Code health

Yes

Tests · ratio 0.20

73.7%

Coverage · measured lines

100%

Documentation · exports

2

Dependencies · direct

Check history

OK2026-08-07
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 184 wordsVignettesYes · dynamicpkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 99%
Return-value docs: 100%
References docs: 15%

Downloads

23

CRAN downloads in the past year

Rank #24,801 · ~0/day · ~2/mo

UniIS Releases R versions

Daily download trend is not available in this view yet.

2330 days

2390 days

231 year

Compare downloads with other packages →

Dependencies

Declared dependencies

3 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (2)

statsgraphics

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
2026-08-06 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-06
Total releases: 1 / 1 yrs
License: GPL-3 OSI
Minimum R: ≥ 4.1.0
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("UniIS")

Format

Tyagi, S., Pandey, A., Singh, B., & Tripathi, V. (2026). UniIS: Importance Sampling Inference for Censored Univariate Data (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.UniIS

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 UniIS version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-10. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-10, 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 →