ModalCens: Parametric Modal Regression with Right Censoring

Implements parametric modal regression for continuous positive distributions of the exponential family and beyond (e.g., Log-Logistic, Birnbaum-Saunders, Log-t) under right censoring. Provides functions to link the conditional mode to a linear predictor using alternative parameterizations. Includes maximum likelihood estimation via numerical optimization, asymptotic inference based on the observed Fisher information matrix, and model diagnostics using randomized quantile residuals. See Galarza and Lachos (2026) <doi:10.48550/arXiv.2603.07099>.

Version:	0.3.0
Depends:	R (≥ 4.1.0)
Imports:	stats, graphics
Published:	2026-10-17
DOI:	10.32614/CRAN.package.ModalCens
Author:	Christian Galarza [aut, cre], Victor Lachos [aut]
Maintainer:	Christian Galarza <chedgala at espol.edu.ec>
BugReports:	https://github.com/chedgala/ModalCens/issues
License:	GPL-3
URL:	https://github.com/chedgala/ModalCens
NeedsCompilation:	no
Materials:	README, NEWS
CRAN checks:	ModalCens results

Documentation:

Reference manual:

ModalCens.html , ModalCens.pdf

Downloads:

Package source:	ModalCens_0.3.0.tar.gz
Windows binaries:	r-devel: ModalCens_0.3.0.zip, r-release: ModalCens_0.3.0.zip, r-oldrel: ModalCens_0.3.0.zip
macOS binaries:	r-release (arm64): ModalCens_0.3.0.tgz, r-oldrel (arm64): ModalCens_0.3.0.tgz, r-release (x86_64): ModalCens_0.3.0.tgz, r-oldrel (x86_64): ModalCens_0.3.0.tgz
Old sources:	ModalCens archive

Linking:

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