Package: smof 1.2.1

Adelchi Azzalini

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>.

Authors:Adelchi Azzalini [aut, cre]

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NEWS

# Install 'smof' in R:
install.packages('smof', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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1.60 score 166 downloads 8 exports 0 dependencies

Last updated 7 days agofrom:fdcaef8c9f. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 31 2024
R-4.5-linuxOKOct 31 2024

Exports:anova.smofplot.smofpredict.smofprint.smofprint.summary.smofsmofsmof_refitsummary.smof

Dependencies: