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 |
| DOI: | 10.32614/CRAN.package.smof |
| 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:
| Reference manual: | smof.pdf |
Downloads:
| Package source: | smof_1.1.0.tar.gz |
| Windows binaries: | r-devel: smof_1.1.0.zip, r-release: smof_1.1.0.zip, r-oldrel: smof_1.1.0.zip |
| macOS binaries: | r-release (arm64): smof_1.1.0.tgz, r-oldrel (arm64): smof_1.1.0.tgz, r-release (x86_64): smof_1.1.0.tgz, r-oldrel (x86_64): smof_1.1.0.tgz |
| Old sources: | smof archive |
Linking:
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