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.
- Version1.2.1
- R versionunknown
- LicenseGPL-2
- LicenseGPL-3
- Needs compilation?No
- smof citation info
- Last release10/30/2024
Documentation
Team
Adelchi Azzalini
Insights
Last 30 days
This package has been downloaded 157 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 7 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 2,759 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Dec 11, 2024 with 50 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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- Suggests2 packages