Penalized Regression with Hierarchical Nested Parameterization Structure

---

Documentation for package ‘hierNest’ version 1.0.2

• DESCRIPTION file
• User guides, package vignettes and other documentation
• Package README

Help Pages

coef.cv.hierNest	Extract subgroup-specific coefficients from a cv.hierNest object
coef.cv.sparsegl	Extract coefficients from a 'cv.sparsegl' object.
coef.sparsegl	Extract model coefficients from a 'sparsegl' object.
cv.hierNest	Cross-validated hierarchical nested regularization for subgroup models
estimate_risk	Calculate information criteria.
example_data	Example dataset
grouped_one_norm	Calculate common norms
grouped_sp_norm	Calculate common norms
grouped_two_norm	Calculate common norms
grouped_zero_norm	Calculate common norms
gr_one_norm	Calculate common norms
gr_two_norm	Calculate common norms
hierNest	Fit Hierarchical Nested Regularization Model (hierNest)
make_irls_warmup	Create starting values for iterative reweighted least squares
one_norm	Calculate common norms
overlapping_gl	Fit an Overlapping Group Lasso Model
plot.cv.hierNest	Plot method for cv.hierNest objects
plot_contribution	Boxplot or bar chart of per-covariate contributions to the linear predictor
predict.cv.sparsegl	Make predictions from a 'cv.sparsegl' object.
predict.sparsegl	Make predictions from a 'sparsegl' object.
predict_hierNest	Predict Method for hierNest Objects
sp_group_norm	Calculate common norms
two_norm	Calculate common norms
zero_norm	Calculate common norms