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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>.

Versions across snapshots

VersionRepositoryFileSize
1.2.2 rolling linux/jammy R-4.5 smof_1.2.2.tar.gz 87.6 KiB
1.2.2 rolling linux/noble R-4.5 smof_1.2.2.tar.gz 87.6 KiB
1.2.2 rolling source/ R- smof_1.2.2.tar.gz 24.6 KiB
1.2.2 latest linux/jammy R-4.5 smof_1.2.2.tar.gz 87.6 KiB
1.2.2 latest linux/noble R-4.5 smof_1.2.2.tar.gz 87.6 KiB
1.2.2 latest source/ R- smof_1.2.2.tar.gz 24.6 KiB
1.2.2 2026-04-26 source/ R- smof_1.2.2.tar.gz 24.6 KiB
1.2.2 2026-04-23 source/ R- smof_1.2.2.tar.gz 24.6 KiB
1.2.2 2026-04-09 windows/windows R-4.5 smof_1.2.2.zip 89.6 KiB
1.2.2 2025-04-20 source/ R- smof_1.2.2.tar.gz 24.6 KiB

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