smof: Scoring Methodology for Ordered Factors

Starting from a given object representing a fitted model (within a certain set of model classes) whose 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. Reference: Azzalini (2023) <doi:10.1002/sta4.624>.

Version: 1.1.0
Depends: R (≥ 4.0.0)
Imports: stats, methods
Suggests: ggplot2, survival
Published: 2024-03-04
Author: Adelchi Azzalini ORCID iD [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

Documentation:

Reference manual: smof.pdf

Downloads:

Package source: smof_1.1.0.tar.gz
Windows binaries: r-devel: smof_1.0.zip, r-release: smof_1.0.zip, r-oldrel: smof_1.0.zip
macOS binaries: r-release (arm64): smof_1.0.tgz, r-oldrel (arm64): smof_1.0.tgz, r-release (x86_64): smof_1.0.tgz
Old sources: smof archive

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