sdlrm: Modified Skew Discrete Laplace Regression for Integer-Valued and Paired Discrete Data

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

Documentation:

Reference manual:

sdlrm.html , sdlrm.pdf

Downloads:

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-release (arm64): sdlrm_0.1.2.tgz, r-oldrel (arm64): sdlrm_0.1.2.tgz, r-release (x86_64): sdlrm_0.1.2.tgz, r-oldrel (x86_64): sdlrm_0.1.2.tgz

Linking:

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