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smof  

Scoring Methodology for Ordered Factors
View on CRAN: Click here


Download and install smof package within the R console
Install from CRAN:
install.packages("smof")

Install from Github:
library("remotes")
install_github("cran/smof")

Install by package version:
library("remotes")
install_version("smof", "1.2.2")



Attach the package and use:
library("smof")
Maintained by
Adelchi Azzalini
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-11-21
Latest Update: 2023-11-21
Description:
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>.
How to cite:
Adelchi Azzalini (2023). smof: Scoring Methodology for Ordered Factors. R package version 1.2.2, https://cran.r-project.org/web/packages/smof. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0 (2023-11-21 19:20), 1.1.0 (2024-03-04 19:30), 1.2.0 (2024-09-17 16:50), 1.2.1 (2024-10-30 19:10)
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Complete documentation for smof
Functions, R codes and Examples using the smof R package
Some associated functions: smof-package . smof . 
Some associated R codes: smof.R .  Full smof package functions and examples
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