Scoring Methodology for Ordered Factors R package smof version 1.2.2 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>. Software Depends: R (>= 4.0.0) Imports: stats, methods Suggests: ggplot2, survival, nloptr Adelchi Azzalini <adelchi.azzalini@unipd.it> Comprehensive R Archive Network (CRAN) Adelchi Azzalini [aut, cre] (ORCID: <https://orcid.org/0000-0002-7583-1269>) GPL-2 GPL-3 2024-12-10 application/tgz https://CRAN.R-project.org/package=smof doi:10.32614/CRAN.package.smof