Package: smof 1.2.2

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]

smof_1.2.2.tar.gz
smof_1.2.2.tar.gz(r-4.5-noble)smof_1.2.2.tar.gz(r-4.4-noble)
smof_1.2.2.tgz(r-4.4-emscripten)smof_1.2.2.tgz(r-4.3-emscripten)
smof.pdf |smof.html✨
smof/json (API)
NEWS

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.60 score 244 downloads 8 exports 0 dependencies

Last updated 4 months agofrom:6f96d8d750. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-linuxOKMar 10 2025
R-4.4-linuxOKMar 10 2025

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

Dependencies:

Citation

To cite the 'smof' package in publications, use:

Azzalini, A. (2024). The R package 'smof': Scoring Methodology for Ordered Factors (version 1.2.2). URL https://cran.r-project.org/package=smof

Corresponding BibTeX entry: 

  @Manual{,
    title = {The {R} package \texttt{smof}: Scoring Methodology for
      Ordered Factors (version 1.2.2).},
    author = {Adelchi Azzalini},
    address = {Universit\`a degli Studi di Padova, Italia},
    year = {2024},
    url = {https://cran.r-project.org/package=smof},
  }