smof: Scoring Methodology for Ordered Factors

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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