smof: Scoring Methodology for Ordered Factors (original) (raw)
Starting from a given object representing a fitted model (within a certain set of model classes) whose (non-)linear predictor includes some ordered factor(s) among the explanatory variables, a new model is constructed and fitted where each named factor is replaced by a single numeric score, suitably chosen so that the new variable produces a fit comparable with the standard methodology based on a set of polynomial contrasts. Two variants of the present approach have been developed, one in each of the next references: Azzalini (2023) <doi:10.1002/sta4.624>, (2024) <doi:10.48550/arXiv.2406.15933>.
| Version: | 1.2.2 |
|---|---|
| Depends: | R (≥ 4.0.0) |
| Imports: | stats, methods |
| Suggests: | ggplot2, survival, nloptr |
| Published: | 2024-12-10 |
| DOI: | 10.32614/CRAN.package.smof |
| Author: | Adelchi Azzalini  [aut, cre] |
| Maintainer: | Adelchi Azzalini <adelchi.azzalini at unipd.it> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| Citation: | smof citation info |
| Materials: | NEWS |
| CRAN checks: | smof results |
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