R: Basis Expansions for Regression Modeling

# Basis Expansions for Regression Modeling

## Documentation for package ‘bases’ version 0.2.0

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

## Help Pages

*.kernel | Kernel arithmetic
+.kernel | Kernel arithmetic
bart_depth_prior | Bayesian Additive Regression Tree (BART) features
bases_mgcv | 'mgcv' integration
b_bart | Bayesian Additive Regression Tree (BART) features
b_conv | Random convolutional features
b_gff | Graph Fourier Feature basis
b_inter | N-way interaction basis
b_ker | Exact kernel feature basis
b_nn | Neural network basis
b_rff | Random Fourier feature basis
b_tpsob | Tensor-product Sobolev space basis
coef.ridge | Ridge regression
fitted.ridge | Ridge regression
kernel-arith | Kernel arithmetic
kernels | Kernel functions
k_lapl | Kernel functions
k_matern | Kernel functions
k_per | Kernel functions
k_rbf | Kernel functions
k_rq | Kernel functions
predict.ridge | Ridge regression
ridge | Ridge regression
step_basis | Recipe step for basis expansions