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 |
| DOI: | 10.32614/CRAN.package.SLRMss |
| Author: | Ivonaldo S. da Silva-Júnior [aut, cre],
Francisco Moisés C. de Medeiros
 [aut],
Eliardo Costa
[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.pdf |
Downloads:
| Package source: | SLRMss_1.0.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: SLRMss_1.0.0.zip, r-oldrel: not available |
| 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 |
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