smof: Scoring Methodology for Ordered Factors
Starting from a given object representing a fitted model (within
a certain set of model classes) whose 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. Reference: Azzalini (2023)
<doi:10.1002/sta4.624>.
Version: |
1.1.0 |
Depends: |
R (≥ 4.0.0) |
Imports: |
stats, methods |
Suggests: |
ggplot2, survival |
Published: |
2024-03-04 |
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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