Package: smof
Type: Package
Title: Scoring Methodology for Ordered Factors
Version: 1.2.2
Date: 2024-12-10
Authors@R: person(given = "Adelchi", family = "Azzalini", 
                  email = "adelchi.azzalini@unipd.it", role = c("aut", "cre"), 
                  comment = c(ORCID = "0000-0002-7583-1269"))          
Maintainer: Adelchi Azzalini <adelchi.azzalini@unipd.it>
Depends: R (>= 4.0.0)
Imports: stats, methods
Suggests: ggplot2, survival, nloptr
ByteCompile: yes
NeedsCompilation: no
Description: 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>.
License: GPL-2 | GPL-3
Encoding: UTF-8
Packaged: 2026-10-16 10:39:22 UTC; root
Author: Adelchi Azzalini [aut, cre]
        (<https://orcid.org/0000-0002-7583-1269>)
Repository: https://cran.r-universe.dev
Date/Publication: 2024-12-10 10:40:02 UTC
RemoteUrl: https://github.com/cran/smof
RemoteRef: HEAD
RemoteSha: 6f96d8d750497bc502e9e75af77f961fa723e646