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Implementation of the modified skew discrete Laplace (SDL) regression model. The package provides a set of functions for a complete analysis of integer-valued data, where the dependent variable is assumed to follow a modified SDL distribution. This regression model is useful for the analysis of integer-valued data and experimental studies in which paired discrete observations are collected.
| Version: | 0.1.2 |
| Depends: | R (≥ 3.5) |
| Imports: | Formula (≥ 1.2.3), Rfast |
| Published: | 2025-04-08 |
| DOI: | 10.32614/CRAN.package.sdlrm |
| Author: | Rodrigo Medeiros [aut, cre] |
| Maintainer: | Rodrigo Medeiros <rodrigo.matheus at ufrn.br> |
| License: | GPL-3 |
| URL: | https://github.com/rdmatheus/sdlrm |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | sdlrm results |
| Reference manual: | sdlrm.pdf |
| Package source: | sdlrm_0.1.2.tar.gz |
| Windows binaries: | r-devel: sdlrm_0.1.2.zip, r-release: sdlrm_0.1.2.zip, r-oldrel: sdlrm_0.1.2.zip |
| macOS binaries: | r-devel (arm64): sdlrm_0.1.2.tgz, r-release (arm64): sdlrm_0.1.2.tgz, r-oldrel (arm64): sdlrm_0.1.2.tgz, r-devel (x86_64): sdlrm_0.1.2.tgz, r-release (x86_64): sdlrm_0.1.2.tgz, r-oldrel (x86_64): sdlrm_0.1.2.tgz |
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These binaries (installable software) and packages are in development.
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