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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

hfr 0.6.2

• Minor bugfixes in se.avg()

hfr 0.7.0

• Introduce handling of linearly dependent columns and columns with zero standard deviation in ‘x’
• Rename argument ‘ridge_lambda’ to ‘l2_penalty’
• Updated documentation

hfr 0.7.1

• fix handling of ‘kappa’ values < 1/k in the presence of intercept

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.