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>.
Version: |
1.2.2 |
Depends: |
R (≥ 4.0.0) |
Imports: |
stats, methods |
Suggests: |
ggplot2, survival, nloptr |
Published: |
2024-12-10 |
Author: |
Adelchi Azzalini
[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:
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