R Observatory: Metrics for ImpAdaptType2Censor version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ImpAdaptType2Censor

0.1.0

Data Generation and Statistical Inference for Improved Adaptive Type-II Progressive Censoring Schemes

0packages depend

44downloads / year

76.3%test coverage

9/9checks pass

Overview

About

Maintained by Shikhar TyagiFirst published 2026-08-071 releasesCRAN page ↗

Comprehensive computational routines for random data generation, Maximum Likelihood Estimation (MLE), Maximum Product of Spacings Estimation (MPSE), and MCMC Bayesian estimation under the Improved Adaptive Type-II Progressive Censoring Scheme (IAT-II PCS). Users can supply custom probability density functions (PDF), cumulative distribution functions (CDF), survival functions, parameter ranges, and progressive censoring plans for any continuous univariate lifetime distribution, or rely on built-in parametric models (e.g., Generalized Exponential). Point estimation methods include MLE via optimization algorithms (Broyden-Fletcher-Goldfarb-Shanno (BFGS), Newton-Raphson (NR), Nelder-Mead (NM), Conjugate Gradients (CG), L-BFGS-B, Simulated Annealing (SANN), and Berndt-Hall-Hall-Hausman (BHHH)) and MPSE. Bayesian inference utilizes Metropolis-Hastings within Gibbs sampling under Squared Error Loss (SEL) and LINEX Loss (LL) functions to compute point estimates and Highest Posterior Density (HPD) credible intervals. Asymptotic confidence intervals for parameters, reliability, and hazard rate functions are constructed using asymptotic normality and delta method. Methods are based on Dev and Chacko (2026, Journal of the Iranian Statistical Society, 25, 1-29), Yan, Zhang, and Dong (2021, Journal of Computational and Applied Mathematics, 381, 113022, doi:10.1016/j.cam.2020.113022), Ng, Kundu, and Chan (2004, Naval Research Logistics, 51, 1145-1168, doi:10.1002/nav.20045), Cheng and Amin (1983, Journal of the Royal Statistical Society Series B, 45, 394-403, doi:10.1111/j.2517-6161.1983.tb01268.x), Kundu and Gupta (1999, Australian & New Zealand Journal of Statistics, 41, 173-188, doi:10.1111/1467-842X.00072), and Berndt, Hall, Hall, and Hausman (1974, Annals of Economic and Social Measurement, 3, 653-665).

Install

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

install.packages("ImpAdaptType2Censor", 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-ImpAdaptType2Censor

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-ImpAdaptType2Censor

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

Health

CRAN checks

9OK

Slowest check: 1.1 min · r-oldrel-windows-x86_64

Check history

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

Documentation

Documentation signals are not tracked yet for this package.

Downloads

44

CRAN downloads in the past year

Rank #24,842 · ~0/day · ~4/mo

ImpAdaptType2Censor Releases R versions

Daily download trend is not available in this view yet.

4430 days

4490 days

441 year

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Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (1)

R >= 4.0.0

Imports (3)

statsgraphicsgrDevices

LinkingTo (0)

none

Suggests (1)

testthat

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
2026-08-07 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-08-07
Total releases: 1 / 1 yrs
License: GPL (>= 3) 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("ImpAdaptType2Censor")

Format

Tyagi, S., Pandey, A., Singh, B., & Tripathi, V. (2026). ImpAdaptType2Censor: Data Generation and Statistical Inference for Improved Adaptive Type-II Progressive Censoring Schemes (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.ImpAdaptType2Censor

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 ImpAdaptType2Censor 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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