R Observatory: Metrics for MleCensoR version 0.1.0

Balamuta, James Joseph

MleCensoR

0.1.0

Maximum Likelihood Estimation under Censoring Schemes

0packages depend

75downloads / year

66.3%test coverage

13/13checks pass

Overview

About

Maintained by Shikhar TyagiFirst published 2026-07-231 releasesCRAN page ↗

Provides generalized functions to compute Maximum Likelihood Estimation (MLE) for any univariate distribution under various censoring and truncation schemes. Users supply the probability density function (PDF), cumulative distribution function (CDF), survival function, support bounds, and initial parameter values; the package constructs and maximizes the appropriate log-likelihood automatically. Supported schemes include right and left truncation, random, right, left, interval, and middle censoring, block random censoring, balanced joint progressive Type-II (BJPT-II), progressive first failure, joint Type-I, Type-I, Type-II, progressive Type-II, Type-II progressively hybrid, joint Type-II, hybrid, hybrid Type-I, doubly Type-II, Type-I hybrid, and hybrid Type-II censoring. Optimization methods include Newton-Raphson (NR), Broyden-Fletcher-Goldfarb-Shanno (BFGS), the BFGS algorithm implemented in R (BFGSR), Berndt-Hall-Hall-Hausman (BHHH), Simulated Annealing (SANN), Conjugate Gradients (CG), and Nelder-Mead (NM). Inference summaries provide the Akaike Information Criterion (AIC), estimated coefficients, log-likelihood, iteration count, standard errors, z-values, p-values, and the variance-covariance matrix. Methods are described in Nagar, Kumar, and Krishna (2026) doi:10.59467/IJASS.2026.22.1, Goel, Kumar, and Krishna (2026, "Estimation in power Lindley distributions using balanced joint progressively Type-II censored data"), Wu and Kus (2009) doi:10.1016/j.csda.2009.03.010, Goel and Krishna (2026) doi:10.1007/s13198-026-03208-w, Balakrishnan and Aggarwala (2000, ISBN:978-1-4612-1334-5), Mondal and Kundu (2020) doi:10.1080/03610926.2018.1554128, Ding and Gui (2023) doi:10.3390/math11092003, Prajapati, Mitra, and Kundu (2019) doi:10.1007/s13571-018-0167-0, Yadav, Jaiswal, and Yadav (2026) doi:10.1007/s11135-026-02647-8, Iyer, Jammalamadaka, and Kundu (2008) doi:10.1016/j.jspi.2007.03.062, Banerjee and Kundu (2008) doi:10.1109/TR.2008.916890, Kundu and Joarder (2006) doi:10.1016/j.csda.2005.05.002, Berndt, Hall, Hall, and Hausman (1974) "Estimation and Inference in Nonlinear Structural Models" doi:10.3386/t0003, Fletcher (1987, "Practical Methods of Optimization", ISBN:978-0-471-91547-8), Nelder and Mead (1965) doi:10.1093/comjnl/7.4.308, McKinnon (1999) "Convergence of the Nelder-Mead simplex method to a non-stationary point" doi:10.1137/S1052623496303482, Kirkpatrick, Gelatt, and Vecchi (1983) doi:10.1126/science.220.4598.671, Fletcher and Reeves (1964) doi:10.1093/comjnl/7.2.149, and Nocedal and Wright (2006, "Numerical Optimization", ISBN:978-0-387-30303-1).

Install

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

install.packages("MleCensoR", 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-mlecensor

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-MleCensoR

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-MleCensoR

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

Health

CRAN checks

13OK

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

Code health

Yes

Tests · ratio 0.07

66.3%

Coverage · measured lines

100%

Documentation · exports

1

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
OK2026-07-24
7 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMEYes · 392 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 100%
References docs: 2%

Downloads

75

CRAN downloads in the past year

Rank #24,611 · ~0/day · ~6/mo

Releases R versions

Daily download trend is not available in this view yet.

7530 days

7590 days

751 year

Compare downloads with other packages →

Also on5 r2u

Dependencies

Declared dependencies

1 external dependency (excludes base and recommended)

Depends (0)

none

Imports (1)

stats

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 (2)

Maintainer (1)

Shikhar Tyagi

Author, Maintainer

Authors (2)

Shikhar Tyagi

Author, Maintainer

Vrijesh Tripathi

Author

Package Timeline

1 release. R releases are shown for context.

0.1.0Latest
2026-07-23 · current release
R
R 4.6.0 released · 2026-04-24

Package metadata

First published: 2026-07-23
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

Start here. This is the citation for the package itself.

citation("MleCensoR")

CRAN DOI

https://doi.org/10.32614/CRAN.package.MleCensoR

BibTeX, derived from DESCRIPTION

@Manual{MleCensoR,
  title  = {MleCensoR: Maximum Likelihood Estimation under Censoring Schemes},
  author = {Tyagi, Shikhar and Tripathi, Vrijesh},
  year   = {2026},
  note   = {R package version 0.1.0},
  doi    = {10.32614/CRAN.package.MleCensoR},
  url    = {https://CRAN.R-project.org/package=MleCensoR}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryMleCensoR,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {MleCensoR} version 0.1.0},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/MleCensoR},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for MleCensoR version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/MleCensoR

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for MleCensoR version 0.1.0
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/MleCensoR
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/MleCensoR.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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