glmnetcr
Fit a Penalized Constrained Continuation Ratio Model for Predicting an Ordinal Response
Penalized methods are useful for fitting over-parameterized models. This package includes functions for restructuring an ordinal response dataset for fitting continuation ratio models for datasets where the number of covariates exceeds the sample size or when there is collinearity among the covariates. The 'glmnet' fitting algorithm is used to fit the continuation ratio model after data restructuring.
- Version1.0.6
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- glmnetcr citation info
- Last release07/03/2020
Documentation
Team
Kellie J. Archer
Insights
Last 30 days
This package has been downloaded 205 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 5 times.
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Last 365 days
This package has been downloaded 3,067 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Feb 12, 2025 with 38 downloads.
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Dependencies
- Depends1 package
- Reverse Imports1 package