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NEWS.md
In hfr: Estimate Hierarchical Feature Regression Models
hfr 0.5.0
- Note that this starts from version
hfr 0.5.0.
hfr 0.6.0
- The plotting functionality has been expanded to highlight statistically insignificant branches
- Option to compute partial correlations using the pairwise (default) approach, or shrinkage approach
- Optional 'weights' argument to implement a weighted version of HFR.
hfr 0.6.1
- Add an optional level-specific ridge_lambda parameter to penalize level-specific regressions
- Rename 'kappa_grid' argument to 'kappa' in 'cv.hfr' (for consistency across different methods)
- Minor bugfixes
Try the hfr package in your browser
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hfr documentation built on Jan. 22, 2023, 1:46 a.m.
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
hfr 0.5.0
- Note that this starts from version
hfr 0.5.0.
hfr 0.6.0
- The plotting functionality has been expanded to highlight statistically insignificant branches
- Option to compute partial correlations using the pairwise (default) approach, or shrinkage approach
- Optional 'weights' argument to implement a weighted version of HFR.
hfr 0.6.1
- Add an optional level-specific ridge_lambda parameter to penalize level-specific regressions
- Rename 'kappa_grid' argument to 'kappa' in 'cv.hfr' (for consistency across different methods)
- Minor bugfixes
Try the hfr package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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