R Observatory: Metrics for ImpAdaptType2Censor version 0.1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

ImpAdaptType2Censor

0.1.0Package record

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

0packages depend

420downloads / year

76.3%test coverage

13/13flavors OK

Overview

About

Maintained by Shikhar TyagiCRAN 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)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("ImpAdaptType2Censor", 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-impadapttype2censor

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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-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). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 52 s · r-devel-windows-x86_64

Status changes

OK13 OKNow
OK6 OK2026-08-08

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.0

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 5
Examples that run: 100%5 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 80%

How these are measured

Downloads

420

CRAN downloads in the past year

Rank #24,920 · ~1/day · ~35/mo

Releases R versions

Daily download trend is not available in this view yet.

16930 days

42090 days

4201 year

Compare downloads with other packages →

Also on13 r2u2 autocran

How downloads are counted

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Installing ImpAdaptType2Censor adds no packages beyond those that come with R.

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.

How these are counted

Code & Tests

People & History

People (4)

Shikhar Tyagi

Author, Maintainer since 0.1.0 (2026)

Arvind Pandey

Author

Bhupendra Singh

Author

Vrijesh Tripathi

Author

Releases (1)

0.1.0Latest
record
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
Minimum R: ≥ 4.0.0
Download size: 15 KB

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 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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ImpAdaptType2Censor version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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