Implements parametric modal regression for continuous positive distributions of the exponential family under right censoring. Provides functions to link the conditional mode to a linear predictor using reparameterizations for Gamma, Beta, Weibull, and Inverse Gaussian families. Includes maximum likelihood estimation via numerical optimization, asymptotic inference based on the observed Fisher information matrix, and model diagnostics using randomized quantile residuals.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.1.0) |
| Imports: | stats, graphics |
| Published: | 2026-03-11 |
| 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 |
| Reference manual: | ModalCens.html , ModalCens.pdf |
| Package source: | ModalCens_0.1.0.tar.gz |
| Windows binaries: | r-devel: ModalCens_0.1.0.zip, r-release: ModalCens_0.1.0.zip, r-oldrel: ModalCens_0.1.0.zip |
| macOS binaries: | r-release (arm64): ModalCens_0.1.0.tgz, r-oldrel (arm64): ModalCens_0.1.0.tgz, r-release (x86_64): ModalCens_0.1.0.tgz, r-oldrel (x86_64): ModalCens_0.1.0.tgz |
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