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: 2024-12-10 10:20:40 UTC; aa
Author: Adelchi Azzalini [aut, cre] (<https://orcid.org/0000-0002-7583-1269>)
Repository: CRAN
Date/Publication: 2024-12-10 10:40:02 UTC
Built: R 4.6.0; ; 2026-04-25 22:25:50 UTC; unix
