SLRMss: Symmetric Linear Regression Models for Small Samples

Ordinary and modified statistics for symmetrical linear regression models with small samples. The supported ordinary statistics include Wald, score, likelihood ratio and gradient. The modified statistics include score, likelihood ratio and gradient. Diagnostic tools associated with the fitted model are implemented. For more details see Medeiros and Ferrari (2017) <doi:10.1111/stan.12107>.

Version: 1.0.0
Depends: R (≥ 3.5.0)
Imports: methods, normalp, ssym
Published: 2025-07-09
Author: Ivonaldo S. da Silva-Júnior [aut, cre], Francisco Moisés C. de Medeiros ORCID iD [aut], Eliardo Costa ORCID iD [aut]
Maintainer: Ivonaldo S. da Silva-Júnior <ivosilvestresjr at gmail.com>
License: GPL-3
NeedsCompilation: no
Citation: SLRMss citation info
Materials: README
CRAN checks: SLRMss results

Documentation:

Reference manual: SLRMss.html , SLRMss.pdf

Downloads:

Package source: SLRMss_1.0.0.tar.gz
Windows binaries: r-devel: SLRMss_1.0.0.zip, r-release: SLRMss_1.0.0.zip, r-oldrel: SLRMss_1.0.0.zip
macOS binaries: r-release (arm64): SLRMss_1.0.0.tgz, r-oldrel (arm64): SLRMss_1.0.0.tgz, r-release (x86_64): SLRMss_1.0.0.tgz, r-oldrel (x86_64): SLRMss_1.0.0.tgz

Linking:

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